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

School:

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 both undergraduate and graduate students in these areas (as it relates to joint projects).

Contact Information:

Contact Email: finale@seas.harvard.edu

Salary Range:

$67,600 – $91,826

*Pay offered to the selected candidate is dependent on factors such as rank, years of experience, training or qualification, field of scholarship, and accomplishments in the field.*