About the Boston-Area UMass Amherst – Mount Ida Campus
The University of Massachusetts Amherst has recently started a new M.S. option in Statistics at the Mount Ida campus in the Boston area of Newton, Massachusetts.
Located in Newton, adjacent to the Newton-Needham Innovation District and the tech-focused Route 128 corridor, The Mount Ida Campus of UMass Amherst is the Greater Boston instructional location of the Commonwealth's flagship campus. At Mount Ida, UMass Amherst offers an array of experiential learning opportunities to its undergraduate students, as well as a growing number of graduate and professional degree programs. The campus is growing its undergraduate career development programs with expanded access to internships and co-ops in the thriving Greater Boston area. Academic programs at the Mount Ida Campus are aligned with the increasing demand for talent in areas such as health care, business, computer science, and other STEM specialties, ensuring the campus will play an important role in filling the talent pipeline that drives the Massachusetts innovation economy.
Job Description:
The Department of Mathematics and Statistics (www.math.umass.edu) at the Mount Ida campus of the University of Massachusetts Amherst seeks an academic-year (9-month), full-time Lecturer with expertise in statistics to teach graduate courses starting in Fall 2020 (standard teaching load two master's level courses per semester) with an initial appointment of one year. Lecturers at UMass Amherst enjoy significant benefits and status under the negotiated faculty contract, including potential for an open-ended appointment with just-cause protection after four years and a promotion ladder to Senior Lecturer and Senior Lecturer II (see Article 21 of the MSP/MTA/NEA contract linked on this page: http://www.umass.edu/provost/faculty-staff-resources/policies-contracts). The Lecturer will join a team of faculty noted for excellence and innovation in graduate and undergraduate education. The successful candidate will teach courses at the graduate level. This position will work with faculty and advising staff to assess student outcomes and foster student success.
Other Functions
- Work collaboratively and effectively to promote teamwork, diversity, equality and inclusiveness.
- Work in partnership with colleagues within the CNS community and across the campus to support the Dean's strategic priorities.
- Perform other duties as assigned in support of the mission and goals of the College of Natural Sciences.
Minimum Requirements
- A PhD degree in statistics or a closely related field is required.
Preferred Qualifications
- Ideally, candidates will have experience in teaching statistics at the graduate level, be knowledgeable of course design, assessment methods and teaching strategies and be skilled at implementing best practices in the use of emerging pedagogical applications.
- Desired skills and experience include at least one of the following: development of computational statistics and statistical data science-related graduate courses, designing and teaching such courses in online and hybrid formats and advising students.
Additional Information
- Salary will be commensurate with skills and experience.
- The University is committed to active recruitment of a diverse faculty and student body. Broad diversity is essential to an inclusive climate and critical to the University's goals of achieving excellence in all areas. We will holistically assess the many qualifications of each applicant and favorably consider an individual's record working with students and colleagues with broadly diverse perspectives, experiences, and backgrounds in educational, research or other work activities. We will also favorably consider experience overcoming or helping others overcome barriers to an academic degree and career.
Application Instructions:
Apply at the following link: http://careers.umass.edu/amherst/en-us/job/501718/lecturer-newton-campus. Apply by October 21, 2019 in order to ensure priority consideration. Search may remain open until a suitable candidate pool has been identified. To apply, please submit the following required documents electronically through the UMass-Amherst Careers website (http://careers.umass.edu/amherst/en-us/job/501718/lecturer-newton-campus): a Curriculum Vita, Cover Letter, a Statement of Teaching Philosophy and Experiences, a Diversity Statement (see below), and the name and contact information for two references.
Questions about the position should be directed to the chair of the Search Committee, Professor Erin Conlon at statmic@math.umass.edu. For additional information about the application process, contact Ms. Liming Liu at limingliu@math.umass.edu.
Diversity Statement: As part of a commitment to their own multicultural community, the College of Natural Sciences seeks an individual with a demonstrated commitment to diversity and one who will understand and embrace university initiatives and aspirations. In addition to application materials above, candidates will need to submit a Statement of Contribution to Diversity, Equity and Inclusion. The Diversity Statement should identify past experiences and future goals. These contributions may result from experiences, scholarships, and/or mentoring, teaching, and outreach activities.(https://www.cns.umass.edu/diversity-equity-inclusion)
UMass Amherst is committed to a policy of equal opportunity without regard to race, color, religion, gender, gender identity or expression, age, sexual orientation, national origin, ancestry, disability, military status, or genetic information in employment, admission to and participation in academic programs, activities, and services, and the selection of vendors who provide services or products to the University. To fulfill that policy, UMass Amherst is further committed to a program of affirmative action to eliminate or mitigate artificial barriers and to increase opportunities for the recruitment and advancement of qualified minorities, women, persons with disabilities, and covered veterans. It is the policy of the UMass Amherst to comply with the applicable federal and state statutes, rules, and regulations concerning equal opportunity and affirmative action.
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Erin Conlon
University of Massachusetts Amherst
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