Penn State University
University Park, PA, USA

Postdoctoral Scholar

OnsitePosted Oct 2, 2025WebsiteLinkedIn

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About this role

APPLICATION INSTRUCTIONS:

  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.

  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.

  • If you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.

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.

POSITION SPECIFICS

The Department of Mathematics in Penn State's Eberly College of Science is seeking a Postdoctoral Scholar beginning August 2026. The successful candidate will work with Professor John Harlim and his collaborators, Yan Li in the Electrical Engineering department, and Daning Huang in the Aerospace Engineering department in the area of Scientific Machine Learning. The project is to develop computationally efficient reduced-order dynamical systems on graph with modern power grid systems as an application.

Education and Experience:

Applicants must have recently completed a Ph.D. and have exceptional research potential. Teaching may be required.

Qualified candidates are expected to have a background in scientific machine learning, numerical analysis, and dynamical systems. Preference will be given to candidates that are proficient with graph neural networks and other scientific machine learning tools.

Additional Information:

Applicants must complete the Penn State application and must also submit an application through Mathjobs.org with the following materials for the application to be complete:

  • Cover letter
  • Curriculum Vitae
  • Teaching Statement
  • Research Statement
  • Publications List
  • At least three reference letters uploaded to Mathjobs.org with your application (one letter must address in detail the candidate’s abilities as a teacher.)

Review of applications will begin immediately and continue until the position is filled.

BACKGROUND CHECKS/CLEARANCES

Employment with the University will require successful completion of background check(s) in accordance with University policies.