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# Tenure-Track Assistant Professor in Astrophysics, Statistics and Machine Learning

- **Company:** Carnegie Mellon University
- **Location:** Pittsburgh, PA, United States
- **Contract:** Permanent contract
- **Skills:** Machine Learning, Information Technology
- **Published:** October 16, 2026
- **Apply:** https://www.administrativejobs.com/job.asp?id=3451631130&tx=YT404CYZ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

Applicants should have a Ph.D. or equivalent degree in Physics, Astronomy, Astrophysics, Statistics, Computer Science, Machine Learning, Data Science, or a closely related field by the start of the appointment. Evaluation will consider the strength and potential of the research program, contributions at the interface of astrophysics and the proposed joint field, the ability to work across disciplinary boundaries, and a commitment to excellence in teaching and mentoring.

## Description

1. a cover letter;
 2. a curriculum vitae; and
 3. a research statement describing past work, future plans, and how their research has previously and will in future advance the fields of astrophysics and one or more of machine learning, statistics, or data science (maximum length: 4 pages including any figures).

Letters of recommendation are not required at the initial stage.

Applications will be reviewed on a rolling basis beginning 8 November 2026 . Long-listed candidates will subsequently be invited to submit additional materials, including a teaching statement and references.