Assistant Professor or Associate Professor (tenure-track)

Institute of Mathematical Statistics

Philadelphia (Philadelphia County)

On-site

USD 120,000 - 210,000

Full time

11 days ago
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Job summary

The Wharton School, University of Pennsylvania invites applications for a full-time tenure-track faculty position in Statistics and Data Science at the Assistant or Associate Professor level. Candidates should show exceptional research, teaching, and communication abilities, with Ph.D. expected by June 30, 2028.

Appointment begins July 1, 2027. For full consideration, submit by November 15, 2026. University of Pennsylvania is an equal opportunity employer.

Qualifications

  • Ph.D. from an accredited institution (expected by June 30, 2028)
  • Outstanding research capacity and achievement
  • Excellent teaching and communication skills

Responsibilities

  • Conduct research of high quality and impact
  • Teach and mentor students at the graduate and undergraduate levels
  • Contribute to service and leadership within the department

Skills

Teaching
Communication
Research

Education

Ph.D.

Job description

The Department of Statistics and Data Science of the Wharton School, University of Pennsylvania, is seeking applicants for full-time, tenure-track faculty position at the Assistant Professor or Associate Professor level. Applicants must show outstanding capacity and achievement in research, as well as excellent teaching and communication skills. Applicants must have a Ph.D. (expected completion by June 30, 2028, is acceptable) from an accredited institution. The appointment is expected to begin July 1, 2027.

For full consideration, candidates are encouraged to have all required application documents submitted by November 15, 2026.

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.

Applicants must show outstanding capacity and achievement in research, as well as excellent teaching and communication skills. Applicants must have a Ph.D. (expected completion by June 30, 2028, is acceptable) from an accredited institution.

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