Full-Time

Postdoctoral Scholar

Pennsylvania State University

Pennsylvania State University

Land-grant university in University Park, PA

No salary listed

Company Does Not Provide H1B Sponsorship

University Park, State College, PA, USA

In Person

PhD

Category
Education
Required Skills
Python
Neural Networks
Machine Learning
MATLAB

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Requirements
  • Applicants must have recently completed a Ph.D. and have exceptional research potential.
  • Candidates will be considered with a background in probability with a focus on Random Matrix theory and Stochastic Processes.
  • Applicants must complete the Penn State application with a cover letter, curriculum vitae, at least three reference letters, a publication list, a research statement, and a teaching statement.
  • Employment with the University will require successful completion of background checks in accordance with University policies.
Responsibilities
  • The successful candidate will work with Professor Leonid Berlyand in the area of probabilistic methods in machine learning.
  • The work includes applications of Random Matrix theory and Gaussian processes to Deep Neural Nets.
  • Teaching may be required.
Desired Qualifications
  • Expertise in numerical simulations with Matlab or Python.
  • Basic knowledge of neural nets.
Pennsylvania State University

Pennsylvania State University

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Pennsylvania State University is a multi-campus, land-grant public research university whose mission spans undergraduate and graduate education, research, and public service.

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