Postdoctoral Scholar
About The Position
The Department of Mathematics in Penn State's Eberly College of Science is seeking a Postdoctoral Scholar beginning January 2027. The successful candidate will work with Professor Leonid Berlyand in the area of probabilistic methods in machine learning. These include applications of Random Matrix theory and Gaussian processes to Deep Neural Nets. Teaching may be required. This is a term position; length of the term will be discussed during the interview process. Continuation past the term length discussed will be based on university need, performance, and/or availability of funding.
Requirements
- Recently completed a Ph.D.
- Exceptional research potential.
- Background in probability with the focus on Random Matrix theory and Stochastic Processes.
Nice To Haves
- Expertise in numerical simulations (with Matlab or Python).
- Basic knowledge of neural nets.
Responsibilities
- Work with Professor Leonid Berlyand in the area of probabilistic methods in machine learning.
- Conduct research including applications of Random Matrix theory and Gaussian processes to Deep Neural Nets.
- Teaching may be required.
Benefits
- Competitive benefits package for full-time employees designed to support both personal and professional well-being.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
