Job Description
Details
Title Postdoctoral Fellowship in Reinforcement Learning, Probabilistic Methods, and/or Interpretability
School Harvard John A. Paulson School of Engineering and Applied Sciences
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 finale.seas.harvard.edu and our group’s webpage https://dtak.github.io/ 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 ...
Title Postdoctoral Fellowship in Reinforcement Learning, Probabilistic Methods, and/or Interpretability
School Harvard John A. Paulson School of Engineering and Applied Sciences
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 finale.seas.harvard.edu and our group’s webpage https://dtak.github.io/ 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 ...
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