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University of Pennsylvania
Philadelphia, Pennsylvania, United States
 
(on-site)
Posted
8 days ago
University of Pennsylvania 
Philadelphia, Pennsylvania, United States
 
(on-site)
Job Type
Full-Time
Job Function
Information Technology
 Assistant Professor of Statistics and Data Science (Tenure-Track) 2025 - 2026 
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
 Assistant Professor of Statistics and Data Science (Tenure-Track) 2025 - 2026 
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Description

Assistant Professor of Statistics and Data Science (Tenure-Track) 2025 - 2026
Location: Philadelphia, PA
Open Date: Sep 12, 2025
Deadline:
The Department of Statistics and Data Science of the Wharton School, University of Pennsylvania, is seeking applicants for a full-time, tenure-track Assistant Professor position. The appointment is expected to begin July 1, 2026.
Qualifications
Applicants must show outstanding capacity and achievement in research, as well as excellent teaching and communication skills. Applicants must have a Ph.D. or equivalent (expected completion by June 30, 2027 is acceptable) from an accredited institution.
Application Instructions
To apply, please submit the following materials through our online application system:
- Cover letter.
- Curriculum vitae.
- Statements on research and teaching.
- Contact information for three references who will automatically receive requests for letters of recommendation.
- Up to 3 selected publications or preprints if available (optional).
For full consideration, candidates are encouraged to have all required application documents submitted by November 15, 2025.
Any questions can be sent to statistics.recruit@wharton.upenn.edu.
To apply, visit https://apply.interfolio.com/173202
Equal Employment Opportunity Statement
The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state, or local law.
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Job ID: 80796211
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