Postdoctoral Research Associate in Deep Learning Theory

  • Princeton University, Operations research and Financial Engineering
  • Princeton, NJ, USA
  • Sep 13, 2021
Full time Computer Science/Info Tech/Systems Engineering & Applied Sciences Mathematics & Statistics Physics & Astronomy Postdoctoral Positions

Job Description

 

The Department of Operations Research & Financial Engineering (ORFE) invites applications for a postdoctoral position in deep learning theory. Princeton is a world leader in the area of deep learning theory, with many excellent faculty in ORFE, Electrical and Computer Engineering, and Computer Science. This position is supported through an NSF Grant "Collaborative Research: Probabilistic, Geometric, and Topological Analysis of Neural Networks, from Theory to Applications" with principal PI, ORFE Assistant Professor Boris Hanin https://hanin.princeton.edu. The position is for one year with the possibility of reappointment for up to two years additional years based on satisfactory performance and availability of funding. The anticipated start date for this position is June 1, 2022.

Application Details

Individuals with a strong theoretical background who expect to obtain a Ph.D. in a field related to neural network theory (e.g. mathematics, physics, statistics, computer science, electrical engineering, machine learning) before September 2022 are encouraged to apply online at https://www.princeton.edu/acad-positions/position/22221.

A complete application must include:

  1. Cover letter
  2. Current CV
  3. Names and contact information of three references

Princeton University is an Equal Opportunity/Affirmative Action Employer, and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law.

This position is subject to Princeton University's background check polity.

 

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