Special Faculty - Post Doctoral Researcher

Carnegie Mellon University: Dietrich College of Humanities and Social Sciences: Statistics

Location: Pittsburgh, PA

Description:

The Department of Statistics & Data Science at Carnegie Mellon University invites applicants to apply for a special faculty-post doctoral researcher position at its Pittsburgh, Pennsylvania campus.

The Department of Statistics at Carnegie Mellon University (www.stat.cmu.edu) is world renowned for its contributions to statistical theory and practice. Research in the department runs the gamut from pure mathematics to the hottest frontiers of science. Our faculty members are recognized around the world for their expertise and have garnered many prestigious awards and honors. (For example, two current members of the faculty have been awarded the COPSS medal, the highest honor given by professional statistical societies.) Current collaborative research by our faculty is helping to make fundamental advances in neuroscience, cosmology, networks, finance, genetics, public policy, high-dimensional inference, and theory and methods at the intersection of statistics and machine learning.

The Department augments all these strengths with a friendly, energetic working environment; exceptional computing resources; and strong research ties with other units on campus and across the nation. Talented graduate students join the department from around the world and add a unique dimension to the department's intellectual life. We welcome applicants from all areas of statistics.

The postdoctoral researcher will pursue research with a faculty member on game-theoretic statistics, confidence sequences and sequential forecasting, as well as multi-armed bandits. This will be a 6-month fixed term position. Anticipated start date January 2026.

Qualifications:

Candidates will be expected to have a strong background in strong mathematical background in statistics and probability is a necessity, preferably with a knowledge of information/coding theory and theoretical machine learning. The candidate will write research papers, and may mentor younger students in the group, due to which writing quality, collaborative skills and oral communication will also be evaluated.

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