Adjunct Faculty Positions

The Department of Statistics at Columbia University invites applications for adjunct faculty positions for the academic year of 2024-2025. We are looking for experienced professionals with expertise in statistics, probability, computation, and/or data science and an interest in teaching and mentoring curious and energetic students in a statistics classroom.

Adjunct faculty teaches at most one course each semester. The department offers a wide range of courses in statistics, probability, and data science at both undergraduate and graduate levels. A robust proportion of our courses are offered in the late afternoons and evenings.

Ph.D. in statistics or a related field by the date of appointment, as is a commitment to high-quality teaching in statistics, probability, or data science. Preference will be given to applicants with previous teaching experiences and strong communication skills.

Preferred Qualifications:

• Excellent teaching records in introductory courses in statistics, probability, machine learning, statistical computing, and data science.
• Experienced industrial professionals with teaching experiences in machine learning and data science

All applications must be made through Columbia University's Academic Search and Recruiting (ASR) system. Please submit the following materials:

• Cover letter (Please indicate the semester/s for which you are applying in your letter.)
• CV that includes past teaching experiences (required)
• Statement of teaching interest and teaching philosophy (required)




• Please include answers to the following questions




• What is the importance of statistical thinking for today's workforce?
• How to use AI tools such as chatGPT to enhance students' learning?






• Up to two sampling teaching materials such as lecture notes and syllabi (required)
• Two names of references (required)

Applications will be reviewed on a rolling basis: Fall semester deadline is May 1; Spring deadline is Oct 1; and Summer deadline is Feb 1.