Assistant, Associate or Full Professor - Cornell University

Cornell University invites nominations and applications for the position of assistant, associate or full professor in the Department of Statistics and Data Science ( Applications can be made through with review beginning March 1 and continuing until the position is filled. 

The Department of Statistics and Data Science has a strong tradition of theoretical and interdisciplinary research and teaching that takes advantage of Cornell University's extensive and diverse academic community. The department itself is an interdisciplinary partnership that includes the College of Agriculture and Life Sciences (CALS), the Cornell Ann S. Bowers College of Computing and Information Science, and the School of Industrial and Labor Relations (ILR). Specializations ranging from mathematical statistics, computational statistics and machine learning to the development of statistical methods for astrophysics, ecology, economics, epidemiology, financial modeling, genomics, high dimensional data, imaging, neurobiology, medicine, and public health.

The tenure-track position will be hired at an open rank in the College of Agriculture and Life Sciences. The position is 50% research and 50% teaching. Applicants should have a recognized research program in one or more of the following areas: statistical methodology, statistical theory, or data science. Candidates should be able to demonstrate a commitment to undergraduate and graduate education, and a commitment to collaboration, collegiality and building an inclusive academic environment. A PhD in statistics, biostatistics, or related field is required.

The Department of Statistics and Data Science is integral to several of Cornell University's Radical Collaborative Initiatives including Data Science, Sustainability, Digital Agriculture, Genome Biology, and Infection Biology. Opportunities exist for a faculty member to integrate departmental activities with broader university programs and the profession by substantially growing the department's visibility and stature.