Postdoctoral Fellowship in Reinforcement Learning, Probabilistic Methods, and/or Interpretability

Department/Area

Computer Science Position Description Accepting applications for postdoctoral position in Reinforcement Learning, Probabilistic Methods, and/or Interpretability. Information on the lab can be found at and our group’s webpage We work on probabilistic models, reinforcement learning, and interpretability + human factors.

Basic Qualifications Candidates are required to have a PhD in machine learning, math, stats, physics, or some other technical area by the time the position starts. Additional Qualifications Candidates should have significant experience in some area of statistical inference/optimization, and will have the chance to mentor both undergraduate and graduate students in these areas .