Assistant Professor in Statistics, Department of Mathematics and Statistics

The Department of Mathematics and Statistics at Georgetown University (https://mathstat.georgetown.edu/) invites applications for a tenure-track position in statistics at the rank of Assistant Professor to begin in August 2026. The department offers both undergraduate and graduate courses. Faculty members are expected to support all department programs. The successful candidate will have a strong commitment to both teaching and research.

Candidates with expertise in statistical machine learning, statistical computing, or statistical methods in artificial intelligence are particularly encouraged to apply.

Applications are due by November 15, 2025.

For questions related to this position, please contact: Danny Cackley, Department Administrator, dc1473@georgetown.edu.

The projected salary range for this position is $109,068-$121,187, which represents the full range of anticipated compensation for this position. Compensation is determined by a number of factors including, but not limited to, the candidate’s individual qualifications, experience, education, skills, and certifications, as well as the University’s business needs and external factors.

Qualifications

A Ph.D. in statistics or biostatistics is required prior to the appointment start date; post-doctoral experience is preferred. Candidates must show a strong promise of excellence in research and teaching.

Application Instructions

Click on Apply Now to submit the following required materials:

• Cover Letter
• CV
• Research Statement
• Teaching Statement
• Three (3) letters of recommendation (candidates must request confidential letters of recommendation to be uploaded in Interfolio by their letter writers)

Applications are due by November 15, 2025.

For more information and to apply, visit https://apply.interfolio.com/173389.

GU is an Equal Opportunity Employer. All qualified applicants are encouraged to apply, and will receive consideration for employment without regard to age, citizenship, color, disability, family responsibilities, gender identity and expression, genetic information, marital status, matriculation, national origin, race, religion, personal appearance, political affiliation, sex, sexual orientation, veteran status, or any other characteristic protected by law.