Postdoctoral Fellowship in Reinforcement Learning, Probabilistic Methods, and/or Interpretability Job at Harvard University – Frequently Asked Questions

Question 1

What is the role of a Postdoctoral Fellowship in Reinforcement Learning, Probabilistic Methods, and/or Interpretability at Harvard University?

Accepted Answer

The Postdoctoral Fellowship in Reinforcement Learning, Probabilistic Methods, and/or Interpretability position at Harvard University is a Full-time or part-time position opportunity in the relevant field.

Question 2

Where is this Postdoctoral Fellowship in Reinforcement Learning, Probabilistic Methods, and/or Interpretability job located?

Accepted Answer

Cambridge, Massachusetts, 02163, United States

Question 3

What type of employment is offered for this Postdoctoral Fellowship in Reinforcement Learning, Probabilistic Methods, and/or Interpretability role?

Accepted Answer

Full-time or part-time position

Question 4

What industry does this Postdoctoral Fellowship in Reinforcement Learning, Probabilistic Methods, and/or Interpretability position belong to?

Accepted Answer

This role spans multiple industries.

Question 5

What is the expected salary for this Postdoctoral Fellowship in Reinforcement Learning, Probabilistic Methods, and/or Interpretability job?

Accepted Answer

$NaN – $NaN

Question 6

How can I apply for the Postdoctoral Fellowship in Reinforcement Learning, Probabilistic Methods, and/or Interpretability position at Harvard University?

Accepted Answer

You can apply directly through the application link provided.

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 both undergraduate and graduate students in these areas (as it relates to joint projects).
Special Instructions	Required application materials through this site include 2-3 recommendation letters, a statement of research interest, and a current CV.
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.
Minimum Number of References Required	3
Maximum Number of References Allowed	3
Keywords

Postdoctoral Fellowship in Reinforcement Learning, Probabilistic Methods, and/or Interpretability at Harvard University – Cambridge, Massachusetts

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