Academic Career Fair Series Starts Up Again - Positions Open!
This is the first event of the Fall 2021 NISS Career Fair Series - several more are in the planning phases! This event features opportunities for statisticians/data scientists from three NISS Affiliate academic departments. Department Chairs from Columbia University's Department of Statistics, Penn State University's Department of Statistics, and the University of South Carolina's Department of Statistics will be on hand to provide attendees with an inside look at the varying aspects of research, teaching, and service that statisticians in these academic institutions get involved in and the career opportunities available for you to consider! All three institutions are currently looking to fill multiple positions! This session will be moderated by Irina Gaynanova (Texas A&M University).
Moderator: Irina Gaynanova (Texas A&M University), Speakers: Murali Haran (Penn State University), Tian Zheng (Columbia University), and Joshua Tebbs (University of South Carolina).
Each presenter will have 20 minutes to address the following general topics:
- What are the preferred qualifications for a tenure-track/tenured faculty position in your institution?
- What are the potential distinguishing characteristics of candidates for a tenure-track/tenured faculty position in your institution?
- What advice would you give to job candidates?
- What advice would you give about how Ph.D. students or postdocs should prepare for the future?
Previous Virtual Career Fairs
The following Career Fairs have taken place in the past year. Follow the link to review the advice from senior statisticians!
Registration Process
This virtual career fair is available (and free) to students/faculty at NISS Affiliate Institutions. To register for the virtual career fair, your organization needs to be a NISS affiliate. Please check the list of NISS affiliates to see if your organization is a NISS affiliate.
If you qualify to register, please use your .edu, .gov, or .com email address when registering. The career fair will be conducted using Zoom. Please REGISTER TODAY (or at https://psu.zoom.us/webinar/register/WN_c3EUItjbQFmLV3w2Sxd0lg ).
About the Speakers
Murali Haran is Professor and Department Head of Statistics at Penn State. He received his Ph.D. and M.S. in Statistics from the University of Minnesota, and his B.S. in Computer Science from Carnegie Mellon University. His research is in the areas of statistical computing, primarily Markov chain Monte Carlo algorithms. He also works on spatial models, particularly latent Gaussian random fields, complex computer models ("computer experiments"), and statistical emulation and calibration. Much of his research is heavily motivated by cross-disciplinary research in climate science and infectious diseases. He served as co-editor of Bayesian Analysis from 2016 to 2018 and has served as an associate editor for a number of journals, including Technometrics, The American Statistician, Journal of Agricultural, Biological and Environmental Statistics, Biometrics, and Bayesian Analysis. From 2013-2014 he was Chair of the American Statistical Association (ASA) Section on Risk Analysis and was the treasurer for the International Society for Bayesian Analysis (ISBA) from 2014 to 2016. At Penn State, he served as Chair of the Penn State Statistics Undergraduate Program from 2012 to 2016. He has been part of several climate science-related organizations/initiatives, including NSF-sponsored SCRiM (Sustainable Climate Risk Management), a multi-institution network with Penn State as the hub. He was the director of the Penn State Node of the NSF research network STATMOS, and a member of the ASA Advisory Committee on Climate Change Policy (2009 - 2014).
Tian Zheng is Professor and Department Chair of Statistics at Columbia University. She obtained her Ph.D. from Columbia in 2002. She develops novel methods for exploring and understanding patterns in complex data from different application domains such as biology, psychology, climatology, and etc. Her current projects are in the fields of statistical machine learning, spatiotemporal modeling, and social network analysis. Professor Zheng's research has been recognized by the 2008 Outstanding Statistical Application Award from the American Statistical Association (ASA), the Mitchell Prize from ISBA, and a Google research award. She became a Fellow of the American Statistical Association in 2014. Professor Zheng is the receipt of the 2017 Columbia's Presidential Award for Outstanding Teaching. In 2018, she will be the chair-elect for ASA's section on Statistical Learning and Data Science. Professor Zheng was an associate editor for Journal of American Statistical Association – Applications and Case Studies from 2007 to 2013 and a current AE for Statistical analysis and data mining (SAM) and Statistics in Biosciences (SIBS), also a Faculty member of F1000 Prime. She is on the advisory board for STATS at Sense About Science America that targets to develop a statistical literate citizenry.
Joshua Tebbs is Professor and Chair in the Department of Statistics at the University of South Carolina. He obtained his BS in Mathematics and MS in Statistics from the University of Iowa and his Ph.D. in Statistics from North Carolina State University. His primary research interests are in the development of statistical methods for categorical data, especially aggregated or group tested data and their application in infectious disease screening, as well as in general biostatistical methods and problems involving ordering or shape restrictions. He is an elected member of the International Statistical Institute, a fellow of the American Statistical Association, and his research program is funded by the National Institutes of Health (NIH). He is currently Editor-in-Chief at American Statistician, Associate Editor at Statistics in Medicine, and a member of the Biostatistical Methods and Research Design (BMRD) Study Section of the NIH.
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Lingzhou Xue
Pennsylvania State University
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