Assistant Professor of Statistics & Data Science

Carnegie Mellon University; False Pass (AK); On-site; USD 105,000 - 140,000; Full time

Job summary

Carnegie Mellon University’s Department of Statistics & Data Science invites applications for a tenure-track Assistant Professor starting Fall 2026. We seek candidates in all areas of statistics and data science and interdisciplinary fields.

The search emphasizes research with potential areas including causal inference, neuroscience, networks, finance, and machine learning. Excellent candidates from diverse backgrounds are encouraged to apply.

Qualifications

• PhD by August 2026 or expected by start date (Aug 2026).
• Candidates across all areas of statistics and data science are encouraged to apply.

Responsibilities

• Conduct research in statistics and data science; develop independent, externally funded programs.
• Collaborate across CMU and with interdisciplinary groups to advance theory and practice.

Skills

Statistics

Education

PhD by Aug 2026

Job description

Description

The Department of Statistics & Data Science at Carnegie Mellon University (www.stat.cmu.edu) invites applications for a tenure track position at the rank of Assistant Professor starting in Fall 2026. The Department seeks strong candidates in all areas of statistics and data science, as well as related interdisciplinary fields. Potential areas of interest include but are not limited to computational finance, statistical theory, physical sciences and statistical computing. Excellent candidates with other research interests will also be considered and are strongly encouraged to apply. Applications received by December 1st, 2025 are guaranteed to receive full consideration. Carnegie Mellon Statistics & Data Science is world-renowned for the significance of its contributions to statistical theory and practice and for its outstanding interdisciplinary applied research. Faculty in the department are engaged in a wide range of theoretical, methodological and collaborative research. Current research by our faculty is helping to make fundamental advances in causal inference, neuroscience, cosmology, networks, finance, genetics/genomics, public policy, high-dimensional inference, sports analytics, and theory and methods at the intersection of statistics and machine learning. Collaboration, both within the Department and across the university, is a core value of the Department and a hallmark of the research work of our faculty. The Department boasts a very friendly and energetic working environment, and is dedicated to fostering, mentoring and supporting its junior faculty. The Department is also widely recognized for advancing the teaching of Statistics and Data Science and for the excellence of our undergraduate program, with large numbers of majors and popular joint programs in statistics and machine learning and statistics and economics. We also have two successful Master's programs (Applied Data Science, Computational Finance) and a thriving Ph.D. program that attract exceptional students from around the world.

Qualifications

PhD (or equivalent international degree) or enrolled in PhD (or equivalent international degree generating program) at the time of application. Candidates will be expected to complete their PhD or equivalent degree no later than the start date of the appointment (August 2026).

Equal Employment Opportunity Statement

Carnegie Mellon University is an equal opportunity employer. It does not discriminate in admission, employment, or administration of its programs or activities on the basis of race, color, national origin, sex, disability, age, sexual orientation, gender identity, pregnancy or related condition, family status, marital status, parental status, religion, ancestry, veteran status, or genetic information. Furthermore, Carnegie Mellon University does not discriminate and is required not to discriminate in violation of federal, state, or local laws or executive orders.