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 Astronomy and Astrophysics at Penn State invites applications for a a Postdoctoral Researcher to work with Professor James DeLaunay and collaborators. The successful applicant will work with the Swift-BAT GUANO and Fermi GBM teams to search for hard X-ray to gamma-ray transients and perform population studies. Research duties will involve improving transient search pipelines, analysis of large quantities of data, transient classification, detailed studies of newly discovered, interesting transients, and publication of scientific results. 

Penn State is home to the Swift Mission Operation Center and has a significant community of researchers who study high-energy transients. Penn State is also home to the Institute for Gravitation and the Cosmos and its Center for Multimessenger Astrophysics, which includes members of several experiments, such as LIGO, the IceCube Neutrino Observatory, and the HAWC TeV gamma-ray detector.

Education and Experience

A PhD in Physics, Astronomy, or a closely related field is required. Experience with HPC systems, machine learning, and GRB monitor data analysis would be an advantage. 

Additional Information

Applications must be submitted electronically and include a cover letter, statement of research interests, a CV, and a list of publ