Open Positions
Tenured Professor in Applied Mathematics and Statistics
The Applied Mathematics area in the John A. Paulson School of Engineering and Applied Sciences (SEAS) and the Department of Statistics in the Faculty of Arts and Sciences (FAS) at Harvard University seek applicants for a tenured position in Applied Mathematics and Statistics in the area of AI for Science. The expected start date is July 1, 2027.
The successful applicant will hold a joint appointment in Applied Mathematics and the Department of Statistics within the interdisciplinary environment of SEAS and FAS. They will advance principled AI grounded in mathematical and statistical theory, emphasizing the development and application of cutting-edge methods that enable and accelerate scientific discovery. Together, these communities are dedicated to training the next generation of scientists and engineers to tackle critical problems and address pressing societal challenges.
Basic Qualifications:
Doctoral degree in Applied Mathematics, Statistics, or related discipline.
Additional Qualifications:
Demonstrated strong commitment to teaching, advising, and research is desired. Candidates should also evince intellectual leadership and impact on the field and potential for significant contributions to the department, University, and wider scholarly community.
Special Instructions:
Please submit application materials and review application requirements through the ARIeS portal at https://academicpositions.harvard.edu/postings/16820. Review will begin on November 15, 2026 and applications will be accepted until the position is filled. Early applications are encouraged.
Tenured Professor in Statistics
The Department of Statistics in the Faculty of Arts and Sciences (FAS) of Harvard University seeks to appoint a tenured full professor in Statistics in the area of statistics and AI. We seek outstanding candidates whose research advances the interface of statistics and AI, from foundational and methodological developments to integrated approaches to trustworthy AI-enabled discovery. The tenured full professor will contribute to teaching and mentoring at both the undergraduate and graduate levels.
Basic Qualifications: Candidates are required to have a doctorate.
Additional Qualifications: Demonstrated strong commitment to teaching, advising, and research is desired. Candidates should also evince intellectual leadership and impact on the field and potential for significant contributions to the department, University, and wider scholarly community.
Special Instructions: Please submit review required application materials and submit your application through the ARIeS portal. Review will begin on November 1, 2026; applications will be reviewed on a rolling basis until the position is filled. Early applications are encouraged.
Tenure-Track Professor in Statistics
The Department of Statistics in the Faculty of Arts and Sciences (FAS) of Harvard University seeks to appoint a tenure-track professor in Statistics in the area of statistics and AI, with an expected start date of July 1, 2027. We seek outstanding candidates whose research advances the interface of statistics and AI, from foundational and methodological developments to integrated approaches to trustworthy AI-enabled discovery. The tenure-track professor will contribute to teaching and mentoring at both the undergraduate and graduate levels.
In Harvard’s Faculty of Arts and Sciences, tenure-track positions are untenured.
Basic Qualifications: A doctorate or terminal degree in statistics or a related discipline is required by the time the appointment begins.
Additional Qualifications: Demonstrated strong commitment to teaching and advising is desired.
Special Instructions: Please review application requirements and submit materials through the ARIeS portal. Review will begin on November 1, 2026; applications will be reviewed on a rolling basis until the position is filled. Early applications are encouraged.
Teaching Fellows and Course Assistants
We invite applications for TFs and CAs for all 100-level courses, with particular interest in STAT 100, 102, 104, 109, 110, 111, 121a and 121b, 139, and 149. Learn about open positions.
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