美国哈佛大学招聘博士后—强化学习、概率方法和/或可解释性研究

美国哈佛大学招聘博士后—强化学习、概率方法和/或可解释性研究

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

Harvard University

in Cambridge, MA

Type: Full-Time

Salary: $67,600 - $91,826 per year

Posted: Today

Category: Mathematics; +2

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 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

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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