Assistant Professor Openings

The Department of Statistics and Data Science at Washington University in St. Louis has multiple openings for tenure-track positions at all ranks, including applicants for Assistant Professor to begin in 2025.   Candidates for Assistant Professor should apply here: http://apply.interfolio.com/153209. A Ph.D. in Statistics or a relevant field in data science is required.  The department supports foundational research as well as transdisciplinary research. Candidates with expertise and interests in emerging areas of statistics and data science, including but not limited to machine learning and artificial intelligence, public health, and social data science, are welcome. Duties will include teaching and student mentoring at the undergraduate and the graduate levels, conducting and maintaining a strong research program, and participating in department and university service.

If an applicant finds it appropriate to apply to a position through the cluster hiring in “theory, computation, data science, for understanding living systems” in Arts & Sciences; please see https://apply.interfolio.com/152466    for the cluster hiring job ad.

Application materials should include a CV, list of publications, research statement, teaching statement, and three or four letters of recommendation, one of the letters needs to address teaching credentials. Applicants are recommended to include copies of past teaching evaluations along with their teaching statements. Applicants and reference letter writers should submit   the required material via Interfolio. The department will review applications regularly from October 15, 2024, but applications completed prior to November 15, 2024 will receive full consideration.  Consideration after that date will be at the discretion of the department.

 

 

Associate and Full Professor Openings

The Department of Statistics and Data Science at Washington University in St. Louis has multiple openings for tenure-track positions at all ranks, including applicants for Associate/Full Professor positions, to begin in 2025.   Candidates for Associate and Full Professor should apply here: http://apply.interfolio.com/153238. A Ph.D. in Statistics or a relevant field in data science is required.  The department supports foundational research as well as transdisciplinary research. Candidates with expertise and interests in emerging areas of statistics and data science, including but not limited to machine learning and artificial intelligence, public health, and social data science, are welcome. Duties will include teaching and student mentoring at the undergraduate and the graduate levels, conducting and maintaining a strong research program, and participating in department and university service. Candidates for the rank of Associate or Full Professor should have outstanding teaching, service, and research record commensurate with tenure at that rank.

If an applicant finds it appropriate to apply to a position through the cluster hiring in “theory, computation, data science, for understanding living systems” in Arts & Sciences; please see https://apply.interfolio.com/152466 for the cluster hiring jobs ad.

Application materials should include a CV, list of publications, research statement, teaching statement, and three or four letters of recommendation. Applicants are recommended to include copies of past teaching evaluations along with their teaching statements. Applicants and reference letter writers should submit the required material via Interfolio. The department will review applications regularly from October 15, 2024, but applications completed prior to November 15, 2024 will receive full consideration.  Consideration after that date will be at the discretion of the department.

The new Department of Statistics and Data Science at Washington University in St. Louis openings for a postdoctoral fellow (including the possibility of being a William Chauvenet Post-doctoral Lecturer).

Apply on Mathjobs.org or by clicking the button below.

  • Search ID #24390 and #24738 for the Postdoctoral Fellow (potentially William Chauvenet Post-doctoral Lecturer)

 

Apply Here