The Department of Statistics at the University of Connecticut (UConn) invites applications for two tenure-track positions at the level of Assistant Professor. To strengthen the areas of focus identified in the 2022-2025 Strategic Plan of the College of Liberal Arts and Sciences at UConn, we seek candidates in emerging areas of statistics and data science with strengths in either or both of the following directions.
- Causal inference and causal statistical learning. With the rise of big data, this field is undergoing exciting development, and many advanced probabilistic/statistical methods are being developed to bridge the gap between correlation/association studies and causal reasoning. The study of causality from large-scale observational data has enormous potential to advance knowledge in many scientific fields.
- Environmental data science. The future of the planet depends on interdisciplinary efforts. Effective and feasible policies and actions rely critically on controlled experiments and rigorous, data-driven analysis. The vast amounts of potentially relevant environmental data, as well as the complexity of models used, demand the specialized expertise of environmental data scientists.
These are full-time, 9-month, tenure-track positions. These positions will involve conducting high-quality research, teaching undergraduate and graduate level courses, advising students, contributing to the development of data science, and securing external funding. Salary will be competitive and commensurate with qualifications and experience. The successful candidate’s academic appointment will be at the Storrs campus. Faculty may also be asked to teach at one of UConn’s regional campuses as part of their ordinary workload.