Post Doc (CLeaR)
About The Position
The Causal Learning and Reasoning (CLeaR) group in the Department of Philosophy at Carnegie Mellon University develops methods and platforms for learning causality, including hidden causal variables, from various types of observational data. The group also uses causal principles for principled reasoning and decision-making. It invites applications for two one-year postdoctoral fellowships beginning in October 2026, potentially renewable for a second year. Candidates should be strong researchers with demonstrated experience in causal learning or inference and an interest in supporting the group's mission.
Requirements
- A Ph.D. in computer science, philosophy, statistics, or a closely related discipline.
- Demonstrated experience in causal learning or inference.
- An interest in supporting the group's mission.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree
