2019 Postings

Please contact Dr. Dionne Swift for more information about posting a job advertisement.  

Tenure Track Assistant Professor Position in Statistics
Department of Mathematics and Statistics
University of Maryland Baltimore County (UMBC)
Posted December 16, 2019

The Department of Mathematics and Statistics at the University of Maryland Baltimore County (UMBC) invites applications for a tenure-track faculty position in Statistics at the rank of Assistant Professor starting in the Fall of 2020.

The successful candidate should have a PhD in statistics, biostatistics or data sciences and is expected to maintain an active independent research program with a strong potential for obtaining external funding, teach graduate and undergraduate courses with a commitment to excellence in teaching, advise undergraduate and graduate students, and contribute to the service component of the department, university, and profession.

The Department offers BS, MS and PhD degrees in applied mathematics and in statistics. For more information, visit our web site <https://mathstat.umbc.edu>. The departmental culture encourages research collaboration, with a strong emphasis to involve undergraduate as well as graduate students in the research activities. The department’s PhD program also has a biostatistics track, in partnership with University of Maryland's School of Medicine and Greenbaum Cancer Center.

UMBC is classified by the Carnegie Foundation as a Research University with high research activity (RU/H). It is located in the Baltimore-Washington corridor near major medical schools The statistics faculty at UMBC actively interact with federal agencies such as the Census Bureau, FDA, NIH and EPA, that afford extensive opportunities for research collaboration.

UMBC is dedicated to training underrepresented scholars at the undergraduate and graduate level through the MARC-U Star, Meyerhoff, and other scholars programs. UMBC is especially proud of the diversity of its student body and the department seeks to attract an equally diverse applicant pool for this position as part of our strong commitment to increasing faculty diversity (https://facultydiversity.umbc.edu).

The UMBC community redefines excellence in higher education through an inclusive culture that connects innovative teaching and learning, research across disciplines, and civic engagement. UMBC and the mathematics and statistics department strive to advance knowledge, economic prosperity, and social justice by welcoming and inspiring inquisitive minds from all backgrounds. The successful candidate will join a department with a strong commitment to diversity and inclusive excellence, and will be expected to contribute actively to these efforts (https://diversity.umbc.edu/).

A complete application should include a cover letter, C.V., summary of current research program, teaching statement, three letters of reference, and a personal statement on commitment to diversity and inclusion. All application materials should be submitted at <http://apply.interfolio.com/71015>. Screening of applications will continue until the position is

filled. For best consideration, submit application materials by January 31, 2020 (application materials will be accepted until the position is filled).

UMBC is an Affirmative Action/Equal Opportunity Employer. Applications from women, minority group members, veterans and individuals with disabilities are encouraged to apply.





Tenure-Track Assistant Professor of Mathematics/Statistics
Department of Mathematics
The University of Tulsa
Posted December 11, 2019

Position Summary

The Department of Mathematics at The University of Tulsa seeks applicants for a tenure-track position in Statistics, at the Assistant Professor level, for the academic year starting August 15, 2020. Responsibilities include teaching undergraduate and graduate courses in statistics and data science and establishment of a productive program of scholarship and research. Collaborative and multi-disciplinary research and innovation are encouraged. The successful candidate will be expected to contribute to the development of curricula in statistics and data science programs.

Mathematics is one of ten academic departments in the College of Engineering and Natural Sciences and offers undergraduate and graduate degree programs in mathematics and applied mathematics. The University of Tulsa is a private university with approximately 4,500 undergraduate and graduate students in the Colleges of Arts and Sciences, Business, Engineering and Natural Sciences, Health Sciences and Law. 

Minimum Qualifications

Applicants should possess a Ph.D. in Statistics or a closely related field in the Mathematical and Computational Sciences, a commitment to teaching excellence at undergraduate and graduate levels, and clear indication of potential for productive research and innovation in the field.

Application Information:

Review of applications will begin immediately and will continue until the position is filled. Applicants should forward an application package that includes a curriculum vitae, a brief statement of teaching interests and qualifications, a summary of projected research activities, and have three professional references forward letters of recommendation.

Applications may be submitted via email: coberly@utulsa.edu (preferred) or by mail to: 

William A. Coberly, Chair

Department of Mathematics

University of Tulsa

800 S. Tucker Dr.

Tulsa, OK 74104-3189

The University of Tulsa seeks to recruit and retain talented students, faculty and staff from diverse backgrounds.  The University of Tulsa is an affirmative action/equal opportunity employer and encourages qualified candidates across all group demographics to apply.  The University does not discriminate on the basis of personal status or group characteristics including, but not limited to race, color, religion, national or ethnic origin, age, sex, disability, veteran status, sexual orientation, gender identity or expression, genetic information, ancestry, or marital status.

 The University of Tulsa is an Equal Opportunity Employer Disabled/ Veteran.






Assistant Professor, Associate Professor, or Professor in Statistics – Cluster Hire
Department of Statistics
University of Wisconsin, Madison

Posted December 4, 2019

The Department of Statistics at the University of Wisconsin, Madison, invites applications for an open rank position starting in August 2020. We seek exceptional candidates with a PhD in Statistics or related field, with backgrounds and interests in all areas of Statistics, with preference for those whose research and teaching experience is in statistical aspects of data science foundation. The incumbent will conduct research and teaching at all levels and provide service at the professional and university level. Successful candidates will be expected to develop and maintain extramural funding. The Department of Statistics is deeply committed to diversity. Members of underrepresented groups are especially encouraged to apply. AA/EOE.

The Department has 22 regular faculty members and more than 180 graduate students. Many faculty members have joint appointments in other departments. The Department is well known for its focus on the interplay between statistical theory, methodology, and practice. It offers a stimulating research environment as well as opportunities for collaborative research in other departments.

The Department has an extensive computing facility, including a LINUX-based network. The facilities support the use of several scientific programming languages and a number of popular statistical and numerical analysis packages. The department is served by several computer specialists and works closely with computing units in the Department of Computer Science and across campus.

The University of Wisconsin-Madison ranks among the top universities in the country in research expenditures and provides excellent support for faculty seeking external funding. Internal research support is available from funds provided by the Wisconsin Alumni Research Foundation. Madison is a pleasant medium-sized city (about 250,000 population) located in the lake region of southern Wisconsin. It is the state capital with a large base for educational research and government activities as well as university-industry interaction. The university and community offer outstanding intellectual, cultural and recreational activities. Madison's quality of life always ranks very high among cities of comparable size as a place to work and live.

Review of applications will begin on January 3, 2020, and continue until the position is filled. Applicants should submit a single PDF that includes: a letter of interest, a detailed resume, a copy of university transcripts (for pre-tenure applicants), a research statement that includes a summary of dissertation and publications, and a teaching statement. You will be asked for the names and contact information for three references. References will be contacted upon application submission and asked to upload a signed letter of reference. At least one of the references should address the applicant's effectiveness as a teacher. Applications should be submitted to the https://jobs.hr.wisc.edu/en-us/job/503679/assistant-professor-associate-professor-professor-in-statistics-cluster-hire. Unless confidentiality is requested in writing, information regarding the applicants must be released upon request. Finalists cannot be guaranteed confidentiality. A criminal background check may be required prior to employment.

Department of Statistics
University of Wisconsin – Madison, 1300 University Ave., Madison WI 53706.  608-262-2598.  www.stat.wisc.edu




Assistant Professor Positions, Department of Statistics
University of Wisconsin, Madison
Posted December 4, 2019


The Department of Statistics at the University of Wisconsin, Madison, invites applications for multiple tenure-track assistant professor positions starting in August 2020. We seek exceptionally strong candidates with a PhD in Statistics or related quantitative field, with backgrounds and interests in all areas of Statistics, with preference for those whose research and teaching experience is in areas such as data science, machine learning, statistical computing, Bayesian statistics, statistical consulting, or statistical modeling. The incumbent will teach three semester-length statistics courses per year; participate in the training of graduate students; conduct research on statistical theory, methods, and application; publish in leading journals in statistics, data science, and closely related fields and present the results at national and international meetings; and participate in professional and university service and outreach.

The Department has 22 regular faculty members and more than 180 graduate students. Many faculty members have joint appointments in other departments. The Department is well known for its strong interplay between statistical theory, methodology, and practice. It offers a stimulating research environment as well as opportunities for collaborative research

in other departments.

The Department has an extensive computing facility, including a LINUX-based network. The facilities support the use of several scientific programming languages and a number of popular statistical and numerical analysis packages. The department is served by several computer specialists and works closely with computing units in the Department of Computer Science and across campus.

The University of Wisconsin-Madison ranks among the top universities in the country in research expenditures and provides excellent support for faculty seeking external funding. Internal research support is available from funds provided by the Wisconsin Alumni Research Foundation. Madison is a pleasant medium-sized city (about 250,000 population) located in the lake region of southern Wisconsin. It is the state capital with a large base for educational research and government activities as well as university-industry interaction. The university and community offer outstanding intellectual, cultural and recreational activities. Madison's quality of life always ranks very high among cities of comparable size as a place to work and live.

Review of applications will begin on December 15, 2019, and continue until the positions are filled. Applicants should submit a single PDF that includes: a letter of interest, a detailed resume, a copy of university transcripts, a research statement that includes a summary of dissertation and publications, and a teaching statement. You will be asked for the names and contact information for three references. References will be contacted upon application submission and asked to upload a signed letter of reference. At least one of the references should address the applicant's effectiveness as a teacher. Applications should be submitted to the Jobs@UW website, https://jobs.hr.wisc.edu/en-us/job/502964/assistantprofessor-

of-statistics.

AA/EOE. The Department of Statistics is deeply committed to diversity. Women and minorities are encouraged to apply. Unless confidentiality is requested in writing, information regarding the applicants must be released upon request. Finalists cannot be guaranteed confidentiality. A criminal background check may be required prior to employment.

Department of Statistics
University of Wisconsin – Madison, 1300 University Ave., Madison WI 53706.  608-262-2598.  www.stat.wisc.edu




Graduate Program in Statistics, Department of Statistics
NC State University, Raleigh, NC
Posted November 13, 2019


NC State is a land grant university; the largest in North Carolina It is located in Raleigh, which is part of Research Triangle, and is consistently rated among best places to live & work (& study!)

Department of Statistics

Our areas of study include theoretical and applied faculty specializations. At NC State, Statistics is a separate department from the Math Department.

Master of Statistics (MStat)

One-year (May–May or August–August) option or two-year traditional option.

PhD in Statistics

Usually BS to PhD takes five years with MStat earned en-route.

Our Current Student Body

  • 60 Masters and 160 Doctoral Students

  • 50% International, 50% US Citizens

  • 50% Female, 50% Male

  • As undergraduates, 30% of our students studied Math and 30% studied Statistics

Why Study Statistics?

  • Research motivated by real world problems

  • Application areas from Accounting to Zoology

  • Jobs in finance, government, consulting, industry, research, pharmaceuticals, software

Our Current Faculty

Coursework to prepare for the Graduate Program in Statistics

Calculus I, II & III Through multivariable calculus
Linear Algebra Vectors & matrices are everyday tools
Probability & Statistics Find out if you really like it!
Advanced Calculus/
Real Analysis
Needed for PhD Program. You may take this course during your first year in the Program
Sciences & Economics Understand the applications of statistics

SAS Hall, opened 2009

Summer Experience for Undergraduates

An undergraduate research project can be a valuable exp erience, working on a real problem outside the confines of the usual classwork. Look at summer research programs (REU’s) for opportunities- like our Summer Institute in Biostatistics (SIBS) program! www.stat.ncsu.edu/programs/sibs/

How to Apply to our Graduate Programs in Statistics?

Start your application by reviewing the Program website statistics.sciences.ncsu.edu/graduate

Financial Support for Doctoral Students

Current Stipends (~$2083/month) Includes tuition & health insurance
Teaching Assistantships Grade papers, hold office hours; Teaching opportunities for senior students
Research Assistantships Collaborate with faculty on research or consulting; some support doctoral research
Graduate Industrial Traineeships Work at a local company with a long-term relationship with the Statistics Department
Other Fellowships Special programs, including SAMSI

The NC State Statistics Annual Beach Trip





Faculty in Biostatistics
Massachusetts General Hospital

Posted November 6, 2019

The Massachusetts General Hospital (MGH) Division of Clinical Research is seeking multiple faculty level biostatisticians with doctoral degrees in Biostatistics or a related field to join the Biostatistics Center at MGH. Successful candidate(s) will have excellent oral and written communication skills, a strong methodological background, and interest in collaborating with a team of clinical researchers at MGH and other Harvard-affiliated institutions. Academic appointments at the rank of Instructor, Assistant or Associate Professor(s) at Harvard Medical School would be within the appropriate clinical department at MGH, based on candidates’ backgrounds. Faculty are involved in teaching of medical students, residents, and fellows.

Areas of particular interest include:

  • Observational Data, Implementation Science and Health Services Research including statistical expertise in causal inference, hierarchical modeling, Bayesian methods, machine learning, or missing data methods with experience using electronic health records or mHealth data;
  • Clinical Trials including proficiency with phase I – III trials, treatment assignment procedures, group-sequential and adaptive designs, survival analysis, or longitudinal modeling;
  • Precision Medicine and Translational Science including knowledge of deep learning methods, regularization techniques, or causal inference with experience in genomics, neuroimaging, electrophysiology or other sources of high-dimensional data.

MGH is the largest research hospital in the United States with an annual research budget of nearly one billion dollars. The mission of the Biostatistics Center at MGH is to engage in trans-disciplinary collaborations involving quantitative methods in public health and medicine. The Biostatistics team includes 32 members (14 faculty) who are deeply embedded in collaborative research projects across more than twenty different application domains including Cancer, Cardiology, General Internal Medicine, Global Health, Neurology, Pediatrics, Psychiatry, Pulmonary and Critical Care Medicine, and Surgery.

Interested candidates should send a personal statement with research interest, three potential referees and Curriculum Vitae to MGHbiostat@partners.org. Review of applications will begin December 1, 2019 and continue until the position(s) are filled.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law. Women and minorities are encouraged to apply.




Faculty Positions in Biostatistics
Boston University School of Public Health

Posted October 21, 2019

The Department of Biostatistics at the Boston University School of Public Health is excited to announce one or more new faculty positions beginning in Fall 2020 to lead on innovative biostatistical scholarship and to work collaboratively with Biostatistics faculty and investigators from various biomedical disciplines, and to teach and mentor students. Preference will be given to the Assistant Professor level, but exceptional candidates at Associate or Full Professor will receive full consideration. The Department of Biostatistics believes that the cultural and social diversity of our faculty, staff, and students is vitally important to the distinction and excellence of our research and academic programs. We seek a colleague who will support our institutional commitment to ensuring that BU is inclusive, equitable, and diverse. BU is an AAU institution with a rich tradition dedicated to inclusion and social justice. As the first American university to award a Ph.D. to a woman, we are proud to continue our tradition of educating a diverse and talented student body. The Boston University School of Public Health pursues a detailed plan for fostering a diverse and inclusive community recognizing that diversity of experience deepens the intellectual endeavor.

The Department of Biostatistics is comprised of 33 faculty, who are internationally recognized for their innovation in research and scholarship in a diverse range of areas of biostatistics including statistical genetics, clinical trials, surveillance, longitudinal studies, Bayesian statistics and risk prediction. Biostatistics faculty play leading roles in several large clinical trials and observational studies such as the renowned Framingham Heart Study, Long Life Family Study, and the Black Women's Health Study. Their work has contributed new knowledge in the fields of cardiovascular disease, dementia and Alzheimer's disease, osteoporosis and arthritis, nutrition, healthy aging and extreme longevity. Many of these findings have been effectively translated into current clinical practice.

The department has a large and successful graduate program (PhD and MA), a federally funded doctoral program for interdisciplinary training of biostatisticians, and an MS in Applied Biostatistics.

Successful applicants will actively engage in both methodological and collaborative research; participate in teaching and mentoring students in the MS, MA, and PhD programs in Biostatistics, in the MPH program, and in other programs across the university; and provide service to the department, university, and profession. Applicants should have a Ph.D. in Biostatistics, Statistics, or other quantitatively oriented field. Applicants must have a demonstrated research record, a strong commitment to teaching, and excellent communication and

writing skills. All outstanding applicants are encouraged to apply, however, the department is especially interested in candidates with expertise in the areas of data science, big data analytics, machine learning, or related disciplines.

Applicants should provide their curriculum vitae; a cover letter that details how their research and teaching will promote diversity and inclusivity at our school; a research statement describing their research interests and previous experience; a teaching statement; and three letters of reference at https://academicjobsonline.org/ajo/jobs/14719.

Application review begins November 30, 2019 and will continue until the position is filled.

Boston University is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. We are a VEVRAA Federal Contractor.




Tenure-Track Assistant Professor in Mathematics Department
California State University Northridge
Posted October 18, 2019

CSUN’s Commitment to You:

CSUN is committed to achieving excellence through teaching, scholarship, learning and inclusion. As both an AANAPISI & HSI (Asian American and Native American Pacific Islander Serving Institution & Hispanic Serving Institution), CSUN welcomes candidates whose experience in teaching, research, or community service has prepared them to contribute to our commitment to diversity and inclusive excellence. Our values include a respect for all people, building partnerships with the community and the encouragement of innovation, experimentation and creativity. CSUN strives to cultivate a community in which a diverse population can learn and work in an atmosphere of civility and respect. CSUN is especially interested in candidates who make contributions to equity and inclusion in the pursuit of excellence for all members of the university community.

For more information about the University, visit our website at: http://www.csun.edu

About the College:

For more information about the college of Science and Math, see: https://www.csun.edu/science-mathematics

About the Department:

For more information about the department, see: https://www.csun.edu/science-mathematics/mathematics

Qualifications:

The Department of Mathematics is in the final stages of developing a new option to the Master’s degree in statistics, scheduled to launch in the 2020-21 academic year. To support this program and the overall needs of the Department we invite applications for one tenure track Assistant Professorship in Statistics, to commence on August 19, 2020. Candidates must demonstrate an ability and commitment to teaching, mentoring, and working with a diverse student population. The Department of Mathematics is interested in candidates with evidence of strong research in any area of classical or modern statistics. Candidates must have a PhD before August 19, 2020 in Statistics or Biostatistics, or in Mathematics with a primary focus in statistics.

At time of appointment, the successful candidate, if not a U.S. citizen, must have authorization from the Bureau of Citizenship and Immigration Services to work in the United States.

Responsibilities:

A successful candidate is expected to maintain an active research program, teach appropriate statistics and mathematics courses at undergraduate and graduate levels, mentor and advise undergraduate and graduate students, and contribute to service in the department and at the university. The Department strives to continue to increase the research activity of its faculty and students, so faculty are expected to support this mission by seeking external funding for their research.

Application Deadline:

Screening of applications will begin on 11/24/2019. Full consideration will be given to candidates whose application arrived by this time. However, the positions will remain open until filled. As part of the screening procedure application materials will be accessible to all tenured and tenure track faculty of the Department of Mathematics.

Applicants must submit their application materials on-line via www.mathjobs.org or by mail to the address below. Complete applications must include the following:
  • the AMS standard cover sheet

  • a cover letter

  • a current curriculum vitae

  • a short (no more than two pages) description of current and future research

  • a short statement (no more than two pages) regarding the candidate’s teaching, in particular discussing (i) experience teaching courses in statistics and/or probability, if any, and (ii) the candidate’s ability to work with a diverse student population

  • at least three, but no more than five, letters of recommendation. At least one letter should substantially address the teaching effectiveness and experience of the candidate.

In later phases of the search process, applicants may be requested to provide verification of terminal degrees, licenses and certificates.

Written Inquiries should be addressed to:

Attn: Hiring Committee

Department of Mathematics

California State University, Northridge

18111 Nordhoff Street

Northridge, CA 91330-8313

Email: hiring.math@csun.edu

General Information:

In compliance with the Annual Security Report & Fire Safety Report of Campus Security Policy and Campus Crime Statistics Act, California State University, Northridge has made crime-reporting statistics available on-line here. Print copies are available by request from the Department of Police Services, the Office for Faculty Affairs, and the Office of Equity and Diversity.

The person holding this position may be considered a 'mandated reporter' under the California Child Abuse and Neglect Reporting Act and is required to comply with the requirements set forth in CSU Executive Order 1083 as a condition of employment.

A background check (including a criminal records check) must be completed satisfactorily. Failure to satisfactorily complete the background check may affect the status of candidates who apply for the position.

CSUN is an Equal Opportunity Employer and prohibits discrimination on the basis of race, color, ethnicity, religion, national origin, age, gender, gender identity/expression, sexual orientation, genetic information, medical condition, marital status, veteran status, and disability. Our nondiscrimination policy is set forth in CSU Executive Order 1096. Reasonable accommodations will be provided for applicants with disabilities who self-disclose by contacting the Mathematics Department at (818) 677-2721.




R&D PHD Statisticians
Procter & Gamble

Posted October 16, 2019

Responsibilities

Description
The Data and Modeling Sciences (D&MS) department is looking for R&D PhD Statisticians for four positions. You will be part of an organization with 30+ statisticians working on a diverse array of interesting problems. You will identify appropriate techniques to design and analyze research. You will have the ability to consult and collaborate closely with researchers, scientists and other statisticians to develop strategies and iterative learning plans using methodologies to integrate multiple types of data and sources. You will discover new methods in partnership with internal and external experts in the field to solve complex problems and advance capabilities.

Below are details of the positions:
  • D&MS Statistician with an emphasis in Environmental Safety. Advanced knowledge of nonlinear models is important, background in Bayesian methods is also a plus. A focus on or exposure to safety/risk assessment methods is desired. Additional background in biotechnology and bioinformatics would be a plus. Strong analytic thought process and ability to interpret findings to clients; the person in this position is also expected to propose and help initiate ideas to advance Safety methods. Skills in design of experiments and sample size estimation, along with a mastery of various statistical methodologies such as multivariate statistics, linear and mixed-effect linear models, survival analysis, data integration and data mining.
  • D&MS Statistician with an emphasis in Consumer Modeling. Exposure to Marketing Analytics, Economics, and/or Quantitative Behavioral Sciences is a plus; PhDs in other quantitative disciplines with expertise in Statistics will also be considered. Mastery of various statistical methodologies such as multivariate statistics, data mining, machine learning, psychometric methods, latent variable modeling, discrete choice and associated methods such as latent class analysis; Knowledge of Bayesian methodologies is a plus.
  • D&MS Statistician with an emphasis in Biological Sciences that include Microbiology, Biotechnology, and/or Clinical. You will be expected to propose and help initiate ideas to advance Bioscience projects. Your skills should show experience in design of experiments and a mastery of various statistical methodologies such as multivariate statistics, linear and non-linear modeling, data integration and data mining tools. An advanced knowledge of Bayesian methods is a plus.
  • D&MS Statistician with an emphasis in the design and analysis of Computer Experiments. Collaborate with researchers, engineers and other statisticians on efforts spanning the range from upstream design through manufacturing. Deliver leading edge statistical methods for the design and analysis of innovative processes, packages and products. Expertise on the design and analysis of computer experiments, physical experiments and combining the two (hybrid modeling). Computing skills along with a background conducive to learning new skills in the machine learning area are highly sought.

What we offer

Responsibilities as of Day 1. You will feel the ownership of your project from the beginning, and you will be given specific projects and responsibilities. Continuous mentorship – you will work with passionate people and receive both formal training as well as day-to-day mentoring from your manager. Work and be part of a dynamic and supportive environment. Promote agility and work/life balance for employees, we value every individual and support initiatives, promoting. We love flexibility. You can arrange your work schedule based on your personal needs. Experience true support for work/life effectiveness and your long-term well-being. Get a competitive salary and benefits' package.

What do you know about us?

We offer meaningful challenges day one and effective and constant training. Thus, we bring to bear the strengths of our employees and develop them to become phenomenal leaders. In addition, diversity is very important for us: we seek the most diverse talent so that we always know how to innovate to exceed the expectations of our 5 billion consumers in the world. Therefore, working with us is the best opportunity to do what you love, with constant challenges and to be recognized for its results. More than that, it's the ideal opportunity to help us touch and improve billions of lives in our world.For over 175 years, we have built some of the world’s most successful brands, including Ariel®, Tide®, Pantene®, Pampers®, and Gillette®. We believe in serving the consumer and ensuring our organization, talent and brand building reflects the diversity and needs of the approximate 5 billion people around the world we serve through our brands. We value leadership as well as deep understanding and offer fulfilling career opportunities that make us an unbeatable force in our industry.

Qualifications

A PhD in Statistics is required.

You should have a demonstrated proficiency in analytical programming languages and tools such as SAS, R, Python, and/or JMP.

You should have a strong analytic thought process and ability to interpret findings to clients.

You should also have a strong communication skills that help you to explain complex statistical concepts to collaborators, along with written and presentation skills for both technical and non-technical audiences.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, disability status, age, sexual orientation, gender identity and expression, marital status, citizenship, HIV/AIDS status or any other legally protected factor.Immigration sponsorship is not available for this role. As a general matter, Procter & Gamble does not sponsor candidates for nonimmigrant visas or permanent residency. However, Procter & Gamble may make exceptions on a discretionary basis. Any exceptions would be based on the Company's specific business needs at the time and place of recruitment as well as the particular qualifications of the individual.

Procter & Gamble participates in e-verify as required by law.

Qualified individuals will not be disadvantaged based on being unemployed.

Interested, go to: https://tinyurl.com/pgstat19




Tenure-Track Assistant Professor, Statistics Department

University of Florida
Posted October 15, 2019

Description

The Department of Statistics at the University of Florida invites applications for two full-time, nine-month, tenure-track Assistant Professors, beginning August 16, 2020. We are particularly interested in candidates with research interests in data science, including statistical/machine learning, imaging, and network analysis.  Duties include teaching, research, and service.

The Department is committed to creating an environment that affirms diversity across a variety of dimensions, including ethnicity/race, gender identity and expression. We particularly welcome applicants who can contribute to such an environment through their scholarship, teaching, mentoring, and professional service. The university and greater Gainesville community enjoy a diversity of cultural events, restaurants, year-round outdoor recreational activity, and social opportunities.

Salary is competitive, commensurate with qualifications and experience and includes a full benefits package.

Qualification

Ph.D or equivalent degree in Statistics or another relevant discipline by the starting date.

Application Instructions

For full consideration, applications must be submitted online at  http://apply.interfolio.com/69969 and must include: (1) a cover letter, (2) a curriculum vitae, (3) a research statement summarizing the applicant’s qualifications, past research, and future research plans, (4) a statement of teaching experience and interest, and (5) three confidential letters of recommendation.. Reference providers will not be notified of their upload link until an application is submitted in full, so early completion of an application is highly recommended.

To ensure full consideration, application materials should be received by November 25, 2019.  All candidates for employment are subject to a pre-employment screening which includes a review of criminal records, reference checks, and verification of education. Send email inquiries to facultysearch@stat.ufl.edu.

All candidates for employment are subject to a pre-employment screening which includes a review of criminal records, reference checks, and verification of education.

The selected candidate will be required to provide an official transcript to the hiring department upon hire. A transcript will not be considered “official” if a designation of “Issued to Student” is visible. Degrees earned from an educational institution outside of the United States require evaluation by a professional credentialing service provider approved by the National Association of Credential Evaluation Services (NACES), which can be found at http://www.naces.org/.

The University of Florida is an equal opportunity institution dedicated to building a broadly diverse and inclusive faculty and staff. Searches are conducted in accordance with Florida's Sunshine Law. If an accommodation due to disability is needed to apply for this position, please call (352) 392-2477 or the Florida Relay System at (800) 955-8771 (TDD).





Assistant Professor of Statistics, Data Science Emphasis
Northern Kentucky University
Posted October 9, 2019

The Department of Mathematics & Statistics at Northern Kentucky University invites applications from excellent individuals for one tenure-track position in statistics, with a focus on data science. The position will be offered at the Assistant Professor level and begin in August 2020.

About the Department and Data Science Program

The Department of Mathematics and Statistics, housed in the College of Arts and Sciences, has 19 tenured/tenure-track faculty members. Bachelor’s degrees are offered in both mathematics and statistics. For information on the department, see http://nku.edu/math. Northern Kentucky University offers an undergraduate major and minor in data science, which is offered through the College of Informatics. Data Science students complete coursework in statistics, informatics, data science, computer science, and business informatics.

About the University

Located seven miles from downtown Cincinnati in an area offering an outstanding quality of life, NKU is a nationally recognized metropolitan university committed to active engagement with the Northern Kentucky/Greater Cincinnati region of nearly two million people. Our institution is built on core values that emphasize multidimensional excellence, learner-centered education, civic engagement, multiculturalism, innovation, collegiality, and collaboration across disciplines and professional fields.

NKU seeks excellence by enriching its educational environment and culture through the diversity of its administration, faculty and staff and by embracing inclusiveness, equity, and global awareness in all dimensions of its work. NKU is an Equal Opportunity/Equal Access/Affirmative Action institution. We encourage applications by members of diverse groups and by persons with a demonstrated commitment to issues of diversity and experience in achieving goals relative to inclusive excellence.

Primary Responsibilities

  • Teach a total of 24 contact hours per academic year, including introductory statistics and at least one undergraduate Data Analytics course.

  • Serve as liaison between the Data Science Program (offered through the College of Informatics) and Statistics programs and faculty within the Department of Mathematics & Statistics

  • Establish and maintain a successful research program

  • Fulfill service requirements

  • Other duties as assigned

Required Qualifications

  • D. in Statistics OR Ph.D. in Data Science, with an MS in Statistics

  • Expertise in the R programming language, with an ability to integrate R into the undergraduate statistics and data science curricula.

  • Ability to teach the full range of undergraduate statistics courses and initial Data Analytics course offerings.

  • Demonstrated commitment and/or experience promoting learning environment that supports the needs of individuals from diverse backgrounds

Desired Qualifications

  • Interest and/or expertise with undergraduate research, including supervision of undergraduate research projects.

  • Interest and/or expertise with data visualization, simulation, Python programming, and/or other statistical methods that add to the breadth of current course offerings

  • Interest and/or experience in the use of high dimensional data analytics

  • Scholarly interests that could lead to relationships with local businesses, industries, or government agencies

Application Materials

Review of applications will begin 11/10/2019 and continue until the position is filled. Inquiries regarding this position may be sent to Dr. Theodore Hodgson (hodgsont1@nku.edu).To apply, submit the following materials at this link https://jobs.nku.edu/postings/8765:

  • Letter of application

  • Curriculum vitae

  • Statement of teaching philosophy, including strategies for supporting student engagement and addressing the needs of learners from underrepresented and other diverse groups

  • Statement of research interests, including a trajectory for scholarly work that includes, if possible, the incorporation of undergraduate students and/or applications for external funding.

  • Unofficial graduate transcripts

  • Three letters of recommendations, including one that elaborates on teaching experience and quality

A criminal background check will be required before hiring is finalized. Upon hiring, official graduate transcripts with conferred degrees must be submitted to the Office of the Provost.





Mathematics: Statistics - Assistant Professor Tenure Track
California State University
Posted October 1, 2019

Overview

The Department of Mathematics at California State University, San Bernardino (CSUSB) invites applications for one or more tenure-track faculty positions at the rank of Assistant Professor to begin August 2020. 

CSUSB faculty contribute to our campus community through teaching, research, professional activities and service.  Our department seeks faculty with a strong commitment to excellence in teaching at the undergraduate and master's levels, including familiarity with evidence-based effective practices for teaching, as well as the potential to foster faculty-student collaborative research.  Currently, our department is expanding offerings in statistics and data science.  The successful candidate would work with a team to develop and implement new courses with attention to current innovations and best practices for teaching statistics.  In addition, we seek candidates with the potential to engage in a robust research agenda.  Opportunities exist for collaboration within our campus community, and our proximity to a variety of other academic institutions offers the opportunity for cross-institution collaborations. 

CSUSB is located in San Bernardino, California, 60 miles east of Los Angeles in the heart of the Inland Empire and operates a satellite campus in Palm Desert located in the Coachella Valley.  We are situated in a diverse and multicultural region that offers a wealth of community activities and settings in which to live.  CSUSB serves approximately 20,000 students, of which 81% are first-generation college students, and graduates about 5,000 annually.  As a designated Hispanic Serving Institution, CSUSB reflects the dynamic diversity of our region and has one of the most diverse student populations of any university in the Inland Empire.  We have the second-highest Hispanic enrollment of all public universities in California, and the Department of Mathematics regularly is one of the top five mathematics departments in the nation in graduating Hispanic math majors. CSUSB employs over 460 full-time faculty and offers 48 undergraduate and 35 graduate degree programs, as well as one doctoral degree program and 14 academic programs with national accreditation.  

At CSUSB, diversity, equity and inclusion are values central to our mission.  We are committed to building and sustaining an academic community that welcomes and supports all individuals.  We recognize that a collegial and inclusive campus climate if fundamental to institutional success.  By fully leveraging our varied experiences, backgrounds and insights, we inspire innovation, challenge the status quo, and create better outcomes for our students and community.  As part of CSUSB's commitment to hire, develop and retain a vibrant faculty, we support junior faculty via a variety of networking, mentoring and development programs.  Qualified applicants with experience in ethnically diverse settings and/or who demonstrate a commitment to serving diverse student populations are strongly encouraged to apply.  

Typical Activities

Teaching responsibilities will include courses in statistics and probability at the undergraduate and master's levels, as well as related courses in mathematics.  Further responsibilities include student advising, mentoring student research at the undergraduate and graduate levels, developing a robust research agenda resulting in high-quality peer-reviewed publications, and providing leadership in course development and service that will advance scholarly excellence in the department and promote inclusive equity-based instruction.  This includes working with other faculty to develop and implement new courses with attention to current innovations and best practices for teaching statistics. 

Qualified candidates must demonstrate a commitment to excellence in teaching and mentoring a diverse student population and to working effectively with faculty, staff and students across a wide range of disciplines. 

New faculty are encouraged to develop and participate in activities that support the University's strategic plan.  This plan emphasizes: a) student success; b) faculty and staff success; c) stewarding resources; d) community engagement and partnerships; and e) enhancing the campus identity. CSUSB's Strategic Plan is available at https://www.csusb.edu/strategic-plan.

Minimum Qualifications

A Ph.D. in Statistics or a related field is required by time of appointment.  Related fields may include a Ph.D. in Mathematics with a specialty in data analytics or closely related area. 

Supplemental Information 

To apply please submit the following required documents:

  1. Curriculum Vitae

  2. Cover Letter that includes a statement of how you might contribute to CSUSB's Strategic Plan.

  3. A statement of your teaching philosophy.  If available, you may include evidence of your teaching effectiveness such as teaching portfolios or observation reports on your teaching.

  4.  A statement of your research experience and goals.

  5.  A statement that describes, with specific examples, how your educational and/or professional experiences have prepared you for teaching, service, mentorship, and/or scholarship that promotes diversity, equity and inclusion.  Highlight how you would support the success of all students, including those from racial, ethnic, and gender backgrounds that are underrepresented in mathematics.

  6. Unofficial copies of all postsecondary degree transcripts (official transcripts will be required prior to appointment.

  7. At least three letters of recommendation to be submitted online by the reference writers to facultyrecruitment@csusb.edu.  At least one letter of reference should address your teaching qualifications.  

Formal review of applications will begin October 4, 2019 and continue until the position is filled.  

Salary is commensurate with experience and qualifications.  CSUSB offers an excellent comprehensive benefits package that includes: health/vision/dental plans, spouse, domestic partner and/or dependent fee-waiver, access to campus childcare, and retirement benefits through the state system along with tax sheltering opportunities.  

To find out more about CSUSB's Department of Mathematics, please visit https://cns.csusb.edu/mathematics. Inquiries regarding this position may be sent to Leeanne Richardson (LHartson@csusb.edu; 909-537-5361).

If you are interested in this opportunity, we invite you to apply at https://www.schooljobs.com/careers/csusb/jobs/2528154.  

A background check (including a criminal records check) must be completed satisfactorily before any candidate can be offered a position with the CSU. Failure to satisfactorily complete the background check may affect the application status of applicants or continued employment of current CSU employees who apply for the position.

The person holding this position is considered a 'mandated reporter' under the California Child Abuse and Neglect Reporting Act and is required to comply with the requirements set forth in CSU Executive Order 1083 as a condition of employment.

California State University, San Bernardino is an Affirmative Action/Equal Opportunity Employer. We consider qualified applicants for employment without regard to race, religion, color, national origin, ancestry, age, sex, gender, gender identity, gender expression, sexual orientation, genetic information, medical condition, disability, marital status, or protected veteran status. This position adheres to CSU policies against Sex Discrimination, Sexual Harassment, and Sexual Violence, including Domestic Violence, Dating Violence, and Stalking. This requires completion of Sexual Violence Prevention Training within 6 months of assuming employment and on a two-year basis thereafter. (Executive Order 1096)

This position may be "Designated" under California State University's Conflict of Interest Code. This would require the filing of a Statement of Economic Interest on an annual basis and the completion of training within 6 months of assuming office and every 2 years thereafter. Visit the Human Resources Conflict of Interest webpage link for additional information: http://hrd.csusb.edu/conflictInterest.html.





Mathematics: General/Mathematics Education - Assistant Professor Tenure Track

California State University
Posted October 1, 2019

Overview

The Department of Mathematics at California State University, San Bernardino (CSUSB) invites applications for one or more tenure-track faculty positions at the rank of Assistant Professor to begin August 2020.  

CSUSB faculty contribute to our campus community through teaching, research, professional activities and service.  Our department seeks faculty with a strong commitment to excellence in teaching at the undergraduate and master's levels, including familiarity with evidence-based effective practices for teaching mathematics, as well as the potential to foster faculty-student collaborative research.  Qualified candidates must demonstrate an interest in and experience with mathematics education, as well as familiarity with current research on student learning in mathematics.  In addition, we see candidates with the potential to engage in a robust research agenda.  Opportunities exist for collaboration within our campus community, and our proximity to a variety of other academic institutions offers the opportunity for cross-institution collaborations.

CSUSB is located in San Bernardino, California, 60 miles east of Los Angeles in the heart of the Inland Empire and operates a satellite campus in Palm Desert located in the Coachella Valley.  We are situated in a diverse and multicultural region that offers a wealth of community activities and settings in which to live.  CSUSB serves approximately 20,000 students, of which 81% are first-generation college students, and graduates about 5,000 annually.  As a designated Hispanic Serving Institution, CSUSB reflects the dynamic diversity of our region and has one of the most diverse student populations of any university in the Inland Empire.  We have the second-highest Hispanic enrollment of all public universities in California, and the Department of Mathematics regularly is one of the top five mathematics departments in the nation in graduating Hispanic math majors. CSUSB employs over 460 full-time faculty and offers 48 undergraduate and 35 graduate degree programs, as well as one doctoral degree program and 14 academic programs with national accreditation.  

At CSUSB, diversity, equity and inclusion are values central to our mission.  We are committed to building and sustaining an academic community that welcomes and supports all individuals.  We recognize that a collegial and inclusive campus climate if fundamental to institutional success.  By fully leveraging our varied experiences, backgrounds and insights, we inspire innovation, challenge the status quo, and create better outcomes for our students and community.  As part of CSUSB's commitment to hire, develop and retain a vibrant faculty, we support junior faculty via a variety of networking, mentoring and development programs.  Qualified applicants with experience in ethnically diverse settings and/or who demonstrate a commitment to serving diverse student populations are strongly encouraged to apply.  

Typical Activities

Responsibilities will include teaching mathematics at the undergraduate and graduate levels, including those required for the Mathematics Teaching concentration and the Liberal Studies major, as well as fostering outreach and collaborative opportunities between the mathematics department and surrounding K-12 institutions.  Further responsibilities include student advising, mentoring student research at the undergraduate and graduate levels, developing a robust research agenda resulting in high-quality peer-reviewed publications, and providing leadership in course development and service that will advance scholarly excellence in mathematics and promote inclusive equity-based instruction. 

Qualified candidates must demonstrate a commitment to excellence in teaching and mentoring a diverse student population and to working effectively with faculty, staff and students across a wide range of disciplines. 

New faculty are encouraged to develop and participate in activities that support the University's strategic plan.  This plan emphasizes: a) student success; b) faculty and staff success; c) stewarding resources; d) community engagement and partnerships; and e) enhancing the campus identity. CSUSB's Strategic Plan is available at 

https://www.csusb.edu/strategic-plan.

Minimum Qualifications

A Ph.D. in Mathematics or a Ph.D. in Mathematics Education with a Master's degree in Mathematics is required by the time of appointment.  A demonstrated interest in mathematics education is required.  

Supplemental Information

To apply please submit the following required documents:

  1.  Curriculum Vitae
  2.  Cover Letter that includes a statement of how you might contribute to CSUSB's Strategic Plan.
  3.  A statement of your teaching philosophy.  If available, you may include evidence of your teaching effectiveness such as teaching portfolios or observation reports on your teaching.
  4.  A statement of your research experience and goals.
  5.  A statement that describes, with specific examples, how your educational and/or professional experiences have prepared you for teaching, service, mentorship, and/or scholarship that promotes diversity, equity and inclusion.  Highlight how you would support the success of all students, including those from racial, ethnic, and gender backgrounds that are underrepresented in mathematics.
  6.  Unofficial copies of all postsecondary degree transcripts (official transcripts will be required prior to appointment.
  7. At least three letters of recommendation to be submitted online by the reference writers to facultyrecruitment@csusb.edu.  At least one letter of reference should address your teaching qualifications.  

Formal review of applications will begin October 4, 2019 and continue until the position is filled.  

Salary is commensurate with experience and qualifications.  CSUSB offers an excellent comprehensive benefits package that includes: health/vision/dental plans, spouse, domestic partner and/or dependent fee-waiver, access to campus childcare, and retirement benefits through the state system along with tax sheltering opportunities.  

To find out more about CSUSB's Department of Mathematics, please visit https://cns.csusb.edu/mathematics. Inquiries regarding this position may be sent to Leeanne Richardson (LHartson@csusb.edu; 909-537-5361).




Instructor in Statistics
Florida International University
Posted September 17, 2019

Florida International University is classified by Carnegie as a “R1: Doctoral Universities - Highest Research Activity” and recognized as a Carnegie Community Engaged university. It is a public research university with colleges and schools that offers bachelor’s, master’s and doctoral programs in fields such as business, engineering, computer science, international relations, architecture, law and medicine. As one of South Florida’s anchor institutions, FIU contributes almost $9 billion each year to the local economy and is ranked second in Florida in Forbes Magazine’s “America’s Best Employers” list. FIU graduates are consistently among the highest paid college graduates in Florida and are among the leaders of public and private organizations throughout South Florida. FIU is Worlds Ahead in finding solutions to the most challenging problems of our time. FIU emphasizes research as a major component of its mission with multiple state-of-the-art research facilities including the Wall of Wind Research and Testing FacilityFIU’s Medina Aquarius Program and the Advanced Materials Engineering Research Institute. FIU has awarded more than 220,000 degrees and enrolls more than 54,000 students in two campuses and centers including FIU Downtown on Brickell, FIU@I-75, the Miami Beach Urban Studios, and Tianjin, China. FIU also supports artistic and cultural engagement through its three museums: Patricia & Phillip Frost Art Museum, the Wolfsonian-FIU, and the Jewish Museum of Florida-FIU. FIU is a member of Conference USA and more than 400 student-athletes participating in 18 sports. For more information about FIU, visit http://www.fiu.edu/.

INSTRUCTOR

  • STARTING DATE: Fall 2020

  • DEPARTMENT: MATHEMATICS AND STATISTICS; DIVISION OF STATISTICS,

  • UNIVERSITY: FLORIDA INTERNATIONAL UNIVERSITY

Job Information

The Division of Statistics in the Department of Mathematics and Statistics at Florida International University invites applications to fill a full-time, nine-month permanent instructor position starting in August 2020.

Candidates must have a Master’s degree or higher in Statistics and are expected to demonstrate a commitment to and evidence of excellence in teaching, written and oral communication skills. This is full time teaching position. Duties will include teaching statistics courses (mostly at the undergraduate level) and some service activities within the department and the university. Teaching assignments may include hybrid (i.e., blended) and online undergraduate instruction.

Qualified candidates are encouraged to apply to Job Opening ID 519284 at facultycareers.fiu.edu and attach a curriculum vitae and teaching philosophy statement as a single pdf file. Candidates will be requested to provide names and contact information for at least three references who will be contacted upon submission of application. Inquiries may be addressed to members of the Instructor Search Committee, Dr. Sneh Gulati (gulati@fiu.edu) or Dr. Florence George (Florence.george@fiu.edu) or to Dr. Hassan Zahedi, Director, Division of Statistics. To receive full consideration, applications and required materials should be received by October 31, 2019.  Review will continue until position is filled.

FIU is a member of the State University System of Florida and an Equal Opportunity, Equal Access Affirmative Action Employer all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status."





Assistant Professor in Statistics
Mathematics Department at Texas State University
Posted September 16, 2019


The Department of Mathematics at Texas State University is seeking to hire a tenure-track Assistant Professor with a research specialization in Statistics, or a closely related field, starting Fall 2020.

The successful candidate will be expected to establish a strong commitment to high-quality research in Statistics mentioned above. The candidate must also be dedicated to the teaching and mentoring of students at the graduate and undergraduate levels. In addition, the candidate must be actively engaged in service to the department, college, university and statistical community. The starting salary will be commensurate with the candidate’s qualifications.

Required Qualifications:

  • An earned doctorate in Statistics or closely related fields prior to employment.

  • Evidence of or potential for research excellence. Assessment will focus on recent publications.

  • Evidence of or potential for excellence in teaching.

  • A strong preparation in mathematics and statistics.

  • An ability to contribute to departmental missions.

Preferred Qualifications:

  • Potential for research collaboration with current faculty.

  • Evidence of or potential to obtain external funding.

Application Procedures:

Submit the following: cover letter, AMS cover sheet, current curriculum vitae, all undergraduate and graduate transcripts (unofficial ones are acceptable for initial screening), statement of research agenda, teaching philosophy, and three letters of recommendation. All documents must be submitted through mathjobs.org. For any application to be considered, the curriculum vitae and cover letter must also be submitted through the Texas State University website. The selected candidate will be required to provide official transcripts from all degree-granting universities. To ensure full consideration, all materials listed above should arrive at the required locations by October 18 , 2019. However, we shall continue to accept applications until the position is filled.

Legal Notices: Texas State University, to the extent not in conflict with federal or state law, prohibits discrimination or harassment on the basis of race, color, national origin, age, sex, religion, disability, veterans’ status, sexual orientation, gender identity or expression. Employment with Texas State University is contingent upon the outcome of record checks and verifications including criminal history, driving records, education records, employment verifications, reference checks, and employment eligibility verifications. Texas State University is a tobacco-free campus. Smoking and the use of any tobacco product will not be allowed anywhere on Texas State property or in university owned or leased vehicles. Texas State University is a member of The Texas State University System. 




Statistician
National Transportation Safety Board

Posted September 13, 2019

Position Summary:

NTSB: Independently Advancing Transportation Safety

This position is located at the National Transportation Safety Board, in the Office of Research and Engineering's Safety Research Division (RE-10). The incumbent serves as a Statistician performing a variety of complex tasks involving statistical, biostatistical, epidemiological and/or econometric principles, methods and techniques in support of the mission of the division and the agency.   

Responsibility:

At the GS-13 level, in addition to duties at the lower grade levels, typical duties may include:

  • Providing technical consultation and guidance to research analysts, accident investigators, and agency leadership on the use of study and experimental designs, and on statistical, biostatistical, epidemiological, or econometric methods and techniques;

  • Designing, planning, and conducting systematic examinations of risk factors or hazards that influence the causes, incidence, and costs of transportation accidents or injury;

  • Designing, planning, and conducting evaluations of the effectiveness of transportation safety data, policies, programs, and technologies at preventing accidents and mitigating injury severity;

  • Collecting, analyzing, and interpreting transportation activity, accident, injury, and other safety-related data to identify emerging problems and recommend corrective solutions;

  • Authoring comprehensive reports of study results and annual statistical reports to inform and educate on transportation safety; and

  • Performing highly-specialized data queries, visualizations, and statistical computations and analysis

At the GS-12 level, in addition to duties at the lower grade level, typical duties may include:

  • Contributing analysis to systematic examinations of risk factors or hazards that influence the causes, incidence, and costs of transportation accidents or injury;

  • Contributing analysis to evaluations of the effectiveness of transportation safety data, policies, programs, and technologies;

  • Collecting and analyzing transportation activity, accident, injury, and other safety-related data to identify emerging problems;

  • Co-authoring comprehensive reports of study results and annual statistical reports to inform and educate on transportation safety; and

  • Performing specialized data queries, visualizations, and statistical analyses.

At the GS-11 level, typical duties may include:

  • Applying knowledge of statistical, biostatistical, epidemiological, or econometric methods and techniques;

  • Assisting in systematic examinations of risk factors or hazards that influence the causes, incidence, and costs of transportation accidents or injury;

  • Assisting in evaluating the effectiveness of transportation safety data, policies, programs, and technologies;

  • Assisting in the preparation of comprehensive reports of study results and annual statistical reports to inform and educate on transportation safety; and

  • Performing routine data queries, visualizations, and statistical analyses.

More information and application instructions here:

https://www.usajobs.gov/GetJob/ViewDetails/545406300  





Assistant Professor in Government and Statistical & Data Sciences
Posted September 09, 2019

The Department of Government (GOV) and the Program in Statistical & Data Sciences (SDS) at Smith College invite applications for a joint, tenure-track position at the rank of Assistant Professor, to begin July 1, 2020.

By time of appointment the applicant must have a Ph.D. in Political Science or a closely-related discipline (e.g., public policy) -- as well as advanced training in statistics, data science, or a closely-related field at the graduate level. Candidates specializing in American political institutions and public policy are preferred. Statistical and Data Science specializations might include, for example, the public policy implications of data storage and mining, machine learning and public health, modeling of voting behavior, surveillance and data privacy policy, or computer algorithms for law enforcement and sentencing.

The position has a teaching load of 2:2 -- i.e., four semester-long courses over the academic year -- and will have a joint teaching commitment to GOV and SDS, split evenly. In GOV, we anticipate that the person would teach introduction to public policy, introduction to American Government, and upper-level courses related to their area of expertise in which students analyze data. In SDS, the person would teach introductory statistics or data science, as well as intermediate and advanced-level courses in their area of interest, for example multiple regression, machine learning, data journalism, data visualization, data ethics, or text mining. Candidates from groups underrepresented in STEM or quantitative political science are encouraged to apply.

Located in Northampton, MA, Smith College is the largest women's college in the country and is dedicated to excellence in teaching and research across the liberal arts. The faculty of outstanding scholars interact with students in small classes. Tenure-track faculty members teach two courses each semester, mentor and advise undergraduates, and enjoy a generous sabbatical policy. Smith College offers opportunities to foster faculty success at every career stage, such as those listed here: https://www.smith.edu/about-smith/provost/faculty-development. The Five College Consortium -- comprising Smith, Amherst, Mount Holyoke and Hampshire Colleges, and the University of Massachusetts-Amherst -- provides a rich intellectual and cultural life. Details about GOV and SDS may be found at https://www.smith.edu/gov/ and https://www.smith.edu/sds/.

Submit application at http://apply.interfolio.com/66801 with a cover letter, curriculum vitae, a statement of research interests, a statement of teaching philosophy, an article- or chapter-length writing sample, and three confidential letters of recommendation. The research and teaching statements should address the candidate’s commitment to diversity and inclusion, as well as their interest in working at a women’s college. Review of applications will begin October 1, 2019.

Diversity and a culture of equity and inclusion among students, staff, faculty, and administration are crucial to the mission and values of Smith College. We are an Affirmative Action/Equal Opportunity employer and do not discriminate on the basis of race, gender, age, color, religion, national origin, disability, sexual orientation, gender identity and expression or veteran status in the recruitment and employment of faculty and staff, and the operation of any of its programs and activities, as specified by all applicable laws and regulations. Women, historically underrepresented minorities, veterans, and individuals with disabilities are encouraged to apply.

Shorter ad:

The Department of Government (GOV) and the Program in Statistical & Data Sciences (SDS) at Smith College invite applications for a joint, tenure-track position at the rank of Assistant Professor, to begin July 1, 2020.

By time of appointment the applicant must have a Ph.D. in Political Science or a closely-related discipline (e.g., public policy) -- as well as advanced training in statistics, data science, or a closely-related field at the graduate level. Candidates specializing in American political institutions and public policy are preferred. Statistical and Data Science specializations might include, for example, the public policy implications of data storage and mining, machine learning and public health, modeling of voting behavior, surveillance and data privacy policy, or computer algorithms for law enforcement and sentencing. The position has a teaching load of 2:2 -- i.e., four semester-long courses over the academic year -- and will have a joint teaching commitment to GOV and SDS, split evenly.

Candidates from groups underrepresented in STEM or quantitative political science are encouraged to apply. Details about the Department of Government may be found at https://www.smith.edu/academics/government, and Statistical and Data Sciences at https://www.smith.edu/academics/statistics. For more information and to apply, visit http://apply.interfolio.com/66801. Review of applications will begin October 1, 2019. EO/AA/Vet/Disability Employer.




Quantitative Research
Fall 2019 Internship Announcement
Posted August 29, 2019

Insight Policy Research, Inc., (Insight)—a rapidly growing, dynamic, small, research and evaluation organization—is seeking a Graduate Research Intern with expertise in quantitative research methods and statistical programming and analysis. 

The essential functions of this position include conducting a broad range of survey-based research and secondary analyses, largely based in the area of food and nutrition. The candidate must have expertise in quantitative data mining, cleaning, and analysis.  This position has the potential opportunity to extend beyond the fall.

Education Requirement:

Master’s degree in Mathematics, Statistics, or a Social Science (obtained or in progress)

Selection Criteria:

  • Experience in data mining, data cleaning, and data manipulation using statistical software such as SAS, R, and Excel (SAS experience preferred).

  • Experience in using national data sets, particularly those maintained by the Census Bureau, and other Federal agencies (e.g., Common Core of Data, American Community Survey, Current Population Survey, Survey of Income and Program Participation, etc.).

  • Demonstrated ability to synthesize and interpret quantitative research for professional and lay audiences.

  • Proven project management skills and ability to allocate time and resources toward the completion of multiple projects with overlapping timelines. 

  • Proven oral and written communications skills. 

  • Willingness to contribute to other project tasks as needed. 

EEO: All candidates will be considered without regard to race, color, religion, sexual orientation, national origin, or disability.

Contact:  Please send resume/CV and a cover letter via email to:

Nicole Kline
nkline@insightpolicyresearch.com

For more information on Insight, see our website at www.insightpolicyresearch.com.





Statistics/Data Science Tenure Track 2020
Mathematics, Statistics, and Computer Science in ST. OLAF College
Posted August 22, 2019

Position Link:

https://stolaf.hiretouch.com/job-details?jobID=1571&job=statistics-data-science-tenure-track-2020

Position Summary:

The Department of Mathematics, Statistics, and Computer Science (MSCS) at St. Olaf College invites applications for two full-time, tenure track positions in Statistics or Data Science at the Assistant Professor level to begin in August 2020. Applications must be submitted through http://www.mathjobs.org

Position Description:

A Ph.D. in statistics, biostatistics, computer science, or a field of study with a significant focus on computation and data is required, ideally by the time of appointment. Candidates must have a demonstrated interest in and dedication to undergraduate teaching. The normal teaching load is six courses per year including introductory, intermediate, and advanced courses in statistics and data science, with opportunities to teach related courses that support thriving programs in mathematics and computer science. We expect that the successful candidates will also help us develop a vision and implement curricular ideas to reflect the ways in which statistics and data science are currently used and to potentially increase the presence of data science, both within our department and college-wide. Potential new courses include data visualization, databases, and data ethics.

Candidates will be expected to develop and maintain an active research program and to contribute to the department’s commitment to research by and involving undergraduates, especially through St. Olaf’s Center for Interdisciplinary Research. Additional responsibilities include service to the department and college. 

St. Olaf’s Department of Mathematics, Statistics, and Computer Science is particularly interested in applicants who will continue to contribute to our diverse community and broaden our curricular offerings. We request that, in their application materials, candidates address their potential to contribute to St. Olaf’s core value to promote a diversity of people and perspectives. We strongly encourage applications from members of underrepresented groups.

Applications must be submitted online, through  http://www.mathjobs.org.

A completed application includes:

  • cover letter addressing your general interest in the liberal arts and particular interest in St. Olaf College

  • current curriculum vitae

  • graduate transcripts (unofficial are acceptable)

  • three letters of recommendation (at least one must directly address teaching)

  • statement on teaching philosophy 

  • statement on research program (including research for undergraduates)

  • statement on diversity and inclusion in statistics and data science (1 page maximum)

Review of applications will begin October 11, 2019, and continue until the positions are filled. On-campus interviews are expected in November, 2019.    

Questions about the position, department, or college may be addressed by e-mail to Prof. Paul Roback, Search Committee Chair, at tt2020stats@stolaf.edu. 

Graduating annually about 70 mathematics majors, 40 statistics and data science concentrators, and 25 computer science majors, St. Olaf’s MSCS Department is among the largest and most successful among American liberal arts colleges, and it is among the nation's top undergraduate origins of Ph.D.'s in the mathematical sciences. With many majors and concentrators to serve, our nearly 20 faculty members regularly offer a wide variety of courses, including offerings in multilevel modeling, machine learning, statistical theory, modern computational mathematics, and data science with R and Python. In a typical summer, 10-15 students do supported summer research with department faculty and many more do research with faculty during the academic year.  

Our department is proud to be the home of outstanding programs in mathematics, statistics and data science, computer science, mathematical biology, and math education. While maintaining disciplinary rigor, we seek interactions and synergy among the programs. The Center for Interdisciplinary Research is a nationally recognized program with a 15-year history of pairing faculty and students in MSCS with faculty and students from other disciplines “to share in the excitement and challenge of working across the traditional academic boundaries to collaborate on research.” With support form the National Science Foundation, the department is also undertaking a five-year project entitled dataSTEM aimed at increasing participation in data science from students who are currently underrepresented in the STEM fields.  

Founded in 1874, St. Olaf College is a residential, coeducational liberal arts college with approximately 3,000 students and 800 faculty and staff employees. It is located in Northfield, Minnesota, about 45 minutes from Minneapolis and St. Paul with their rich and diverse cultural resources. The college offers an academically rigorous, nationally ranked liberal arts education that fosters the development of the whole person in mind, body, and spirit and emphasizes learning in an inclusive and globally engaged community.

To provide a safe and secure educational environment, St. Olaf College verifies the accuracy of all credentials presented by applicants and conducts a criminal background check on every new hire.





Major League Baseball Diversity Fellowship Program
Posted May 16, 2019

Baseball is a historic game consisting of the world's very best players, whose collective background is as diverse as any other group of athletes in professional sport, continually building the National Pastime's unmatched legacy of iconic on-field performances while creating its unquestionable mystique.

Success on the field is not measured by a singular measurement of perfection, but rather how a team of individuals with different skills comes together to achieve a common goal. Each and every day, teams seek the best talent in order to stay ahead of the curve in the ultra-competitive landscape of the Major Leagues.

Major League Baseball understands that we must apply that same approach to our front offices in order to secure the game's next generation of leadership. With that in mind, we are proud to launch the inaugural MLB Diversity Fellowship Program.

This latest venture in Baseball's efforts to competitively recruit the most talented individuals and brightest young minds entering the workforce will provide the opportunity for young, diverse professionals to experience front office positions that have been traditionally influential in baseball operations decisions.

The MLB Diversity Fellowship Program will allow us to stay true to the ideals of equal opportunity while solidifying Major League Baseball as an organization of choice for all recent graduates, including people of color and women.

This distinct opportunity will place candidates in entry-level roles within one of the MLB Clubs and MLB's Central Office. The Club-based program will be an 18-to-24-month commitment in a front office or baseball operations role at one of the MLB Clubs around the country participating in the MLB Diversity Fellowship Program.

Additionally, Major League Baseball will offer three entry-level fellowships with a rotational, three-year phase opportunity to: (1) two years in Baseball Operations, focusing on International Operations & Scouting, Umpiring and On-field Rules & Regulations; and (2) one year working within the League Economics Department.

Eligibility Criteria:

  • Open to people of color and female candidates.
  • Candidates must be recent graduates (no more than 24 months post-graduation) with either a Bachelor's degree, Master's Degrees or related advanced degree.
  • For those candidates interested in the Club Fellowship Program, a commitment of at least 18 months of employment is required at any participating Club in which you are placed.
  • Exact locations are up to the discretion of Major League Baseball and participating Clubs.
  • For those candidates interested in the Office of the Commissioner Fellowship Program, you must commit to at least three years of employment located in New York City.

Thank you for your interest in the MLB Fellowship Program. The 2019 application process will begin on August 19, 2019. Please visit www.mlb.com/fellowship periodically for updates. In the meantime, please go to www.mlb.com/careers for job opportunities at Major League Baseball.

Application documentation:

  • Resume
  • Cover letter is optional
  • Transcript
  • A personal statement (500 words or less)
  • Baseball essay (500 words or less)

In addition, Major League Baseball's Department of Diversity and Inclusion is committed to finding the next generation of leaders. You are invited to participate in the following survey to help gather information from interested candidates for future opportunities in Major League Baseball. The survey takes 5 - 7 minutes to complete (https://research-mlb.com/s3/New-Survey)




Division Chief and Associate/Full Professor
Division of Public Health. Department of Family and Preventive Medicine
University of Utah
Posted February 28, 2019

The University of Utah’s Division of Public Health within the Department of Family and Preventive Medicine invites applications and nominations for the position of Division Chief. This tenure track appointment offers a unique opportunity for a highly qualified individual to lead a division with a significant global presence in research and education. We seek an experienced national leader who values a collaborative working environment and is committed to improving public health through high-quality education, impactful research and genuine engagement with the communities we serve. Faculty rank and salary level is competitive and commensurate with experience.

The Division of Public Health has experienced significant growth over the last 5 years and now consists of 20 core faculty serving approximately 200 graduate students. We offer the MPH, MSPH, Master of Science in Biostatistics, and PhD degrees at the Salt Lake City campus. The full MPH curriculum is also offered at the University of Utah Incheon Global Campus in South Korea and, starting in fall 2019, in Ghana at the Ensign College of Public Health. The division has been fully accredited by the Council on Education in Public Health since 1978, and has an expanding and diverse research portfolio with a strong and increasing track-record of successful federal funding.

The Division of Public Health is situated in the Department of Family and Preventive Medicine in the University of Utah’s School of Medicine. The Department was established in 1970 to address current and emerging health care needs by educating health care professionals, conducting basic and applied research, and implementing state-of-the-art clinical and community-based health services. Since then, the Department has grown into a booming entity that houses the Divisions of Family Medicine, Physician Assistant Studies, Public Health, and Occupational and Environmental Health. As an ever growing and developing department, our goal is to expand the possibilities of health by serving the communities we work with in a variety of capacities. The Department has a strong record of NIH funding, and is ranked 4th among departments of Family and Preventive Medicine by the Blue Ridge Institute for Medical Research. The majority of externally funded researchers within the Department are housed within the Division of Public Health.

The University of Utah was founded in 1850, is a member of the PAC12, is ranked as one of the top US public research universities, and is particularly distinguished in medicine, genetics, and engineering. Located in Salt Lake City adjacent to the beautiful Wasatch Mountains, the University of Utah is the flagship institution of higher learning in Utah, serving over 31,000 students, including over 2,000 international students and scholars from over 114 different countries. Salt Lake City is a rapidly growing, diverse population, over a fifth of whom speak more than one language. It is ranked as one of the top twenty metropolitan areas in terms of quality of life.

Faculty in the Division of Public Health have access to unique opportunities for research collaboration and support, with teams of highly successful researchers in the department as well as in the University of Utah Health Sciences, including the Rocky Mountain Center for Occupational and Environmental Health, Huntsman Cancer Institute, the Salt Lake City Veterans Affairs Center of Innovation, the Center for Excellence in Women’s Health, the Utah Genome Project/Precision Medicine, Cardiovascular Research Center, the Diabetes Metabolism Research Center, and the Center for Clinical and Translational Sciences. Additional collaborative opportunities are available across the University of Utah in areas such as psychology, sociology, business, social work, engineering, anthropology, and economics.

Desired Qualifications (In no particular order):

  • Significant experience leading a public health or related academic unit.
  • Ability to develop a vision for Global Public Health.
  • Understanding and evidence of ability to build and develop collaborative relationships within and beyond the University.
  • Skills to effectively develop and maintain donor relationships.
  • Proven record of federally and/or foundation funded research and strong record of publications.
  • Excellent interpersonal and communication skills.
  • Ability to develop and maintain effective interdisciplinary educational programs and research teams.
  • Experience mentoring junior faculty and organizing mentoring programs.
Candidates should submit a cover letter and curriculum vitae, along with the completed application. The online application is available at: http://utah.peopleadmin.com/postings/88375.

Please contact either committee co-chair with any questions regarding this posting.

Rodney Handy, MBA, PhD, CIH
Professor, Division of Occupational & Environmental Health
rod.handy@hsc.utah.edu

Trenton Honda, PhD, MMS, PA-C
Associate Professor (Lecturer)
Division Chief, Division of PA Studies
Trenton.honda@utah.edu

University of Utah Health is a patient focused center distinguished by collaboration, excellence, leadership, and Respect. University of Utah Health values candidates who are committed to fostering and furthering the culture of compassion, collaboration, innovation, accountability, diversity, integrity, quality, and trust that is integral to the mission of University of Utah Health.

The University of Utah is an Affirmative Action/Equal Opportunity employer and does not discriminate based upon race, national origin, color, religion, sex, age, sexual orientation, gender identity/expression, status as a person with a disability, genetic information, or Protected Veteran status. Individuals from historically underrepresented groups, such as minorities, women, qualified persons with disabilities and protected veterans are encouraged to apply. Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities. To inquire about the University’s nondiscrimination or affirmative action policies or to request disability accommodation, please contact: Director, Office of Equal Opportunity and Affirmative Action, 201 S. Presidents Circle, Rm 135, (801) 581-8365.

The University of Utah values candidates who have experience working in settings with students from diverse backgrounds, and possess a strong commitment to improving access to higher education for historically underrepresented students.




Open Rank Professor of Statistics
Statistics Division. Department of Mathematics and Statistics
Florida International University
Posted February 28, 2019

Florida International University is classified by Carnegie as a “R1: Doctoral Universities - Highest Research Activity” and recognized as a Carnegie Community Engaged university. It is a public research university with colleges and schools that offers bachelor’s, master’s and doctoral programs in fields such as business, engineering, computer science, international relations, architecture, law and medicine. As one of South Florida’s anchor institutions, FIU contributes almost $9 billion each year to the local economy and is ranked second in Florida in Forbes Magazine’s “America’s Best Employers” list. FIU graduates are consistently among the highest paid college graduates in Florida and are among the leaders of public and private organizations throughout South Florida. FIU is Worlds Ahead in finding solutions to the most challenging problems of our time. FIU emphasizes research as a major component of its mission with multiple state-of-the-art research facilities including the Wall of Wind Research and Testing FacilityFIU’s Medina Aquarius Program and the Advanced Materials Engineering Research Institute. FIU has awarded more than 220,000 degrees and enrolls more than 54,000 students in two campuses and centers including FIU Downtown on Brickell, FIU@I-75, the Miami Beach Urban Studios, and Tianjin, China. FIU also supports artistic and cultural engagement through its three museums: Patricia & Phillip Frost Art Museum, the Wolfsonian-FIU, and the Jewish Museum of Florida-FIU. FIU is a member of Conference USA and more than 400 student-athletes participating in 18 sports. For more information about FIU, visit http://www.fiu.edu/.

The Division of Statistics in the Department of Mathematics and Statistics at Florida International University invites applications to fill a full-time, tenured/tenure track position (rank open) in Statistics starting in fall 2019. Successful candidates will be expected to have a Ph.D. in Statistics and maintain a strong research program (external funding for senior applicants, peer-reviewed scholarly work, mentoring of undergraduate/graduate and post-doctoral researchers), to teach/adapt/develop transformative courses in the discipline, to provide service to the department/college, and to have excellent communication skills. Preference will be given to candidates whose research and expertise aligns with the statistics needs of the Institute of Water and Environment InWE and/or the Global Forensic and Justice Center (which includes the International Forensic Research Institute - IFRI, Center for Advanced Research in Forensic Science - CARFS, and the National Forensic Science Technology Center - NFSTC). To read more about these and other FIU Preeminent Programs, click here.

Qualified candidates are encouraged to apply to Job Opening ID 516674 at facultycareers.fiu.edu and attach a cover letter, curriculum vitae, a statement of research accomplishments and plans, and a statement on teaching and student mentoring as a single PDF file. Senior candidates should include information on past and current extramural funding. Candidates may be requested to provide names and contact information for at least three references who will be contacted as determined by the search committee. Review of applications will begin March 15, 2019, and continue until the position is filled. Inquiries may be addressed to Professor Sneh Gulati (gulati@fiu.edu), Chair, Search Committee, or to Professor Hassan Zahedi (zahedih@fiu.edu), Director, Division of Statistics.

FIU is a member of the State University System of Florida and an Equal Opportunity, Equal Access Affirmative Action Employer all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status."