Associate Professor of Statistics and Data Science (Tenure-Track) 2026 - 2027

University of Pennsylvania; Philadelphia (Philadelphia County); Sur place; USD 120 000 - 180 000; Plein temps

Résumé du poste

University of Pennsylvania invites applications for a full-time, tenure-track Associate Professor in Statistics and Data Science in the Wharton School. The appointment is expected to begin July 1, 2027. Candidates should demonstrate outstanding research achievement, as well as excellent teaching and communication skills.

A Ph.D. or equivalent from an accredited institution is required. The search is conducted by the Department of Statistics and Data Science at UPenn.

Qualifications

• Ph.D. or equivalent from an accredited institution is required.
• Outstanding research achievement and strong teaching and communication skills expected.
• Tenure-track Associate Professor appointment at Wharton School, UPenn.

Responsabilités

• Conduct independent research and publish in top journals.
• Teach at undergraduate and graduate levels and supervise students.
• Contribute to service and leadership within the department.

Connaissances

Teaching

Research

Communication

Formation

Ph.D. or equivalent

Description du poste

Associate Professor of Statistics and Data Science (Tenure-Track) 2026 - 2027

Location: Philadelphia, PA

Open Date: Sep 16, 2026

The Department of Statistics and Data Science of the Wharton School, University of Pennsylvania, is seeking applicants for a full-time, tenure-track Associate Professor position. The appointment is expected to begin July 1, 2027.

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 from an accredited institution.

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.