Postdoctoral Scholar: Scientific Machine Learning (Prof. Romit Maulik)

The Pennsylvania State University
United States, Pennsylvania, University Park
201 Old Main (Show on map)
Mar 08, 2025
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. JOB DESCRIPTION AND POSITION REQUIREMENTS: Prof. Romit Maulik in the College of Information Sciences and Technology (IST) at the University Park campus seeks applicants for a postdoctoral scholar in Scientific Machine Learning. The successful candidate will develop and deploy state-of-the-art SciML algorithms in high-performance computational physics codes. We accept applications from all candidates with a Ph.D. in computer science, engineering, mathematics, or other related fields. Successful candidates must have Ph.D. or terminal degree prior to beginning employment at Penn State. This appointment will be a one-year appointment with the possibility of renewal based on performance and funding. The Pennsylvania State University is committed to and accountable for advancing equity, respect, and belonging in all its forms. We embrace individual uniqueness, as well as a culture of belongingthat supports both broad and specific equity initiatives, leverages theeducational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of thecommunity thrive.We value belonging as a core strength and anessential element of the university's teaching, research, and servicemission. To apply: Please submit your CV, research statement, and any other relevant material in one PDF document. Employment will require successful completion of background check(s) in accordance with University policies. CAMPUS SECURITY CRIME STATISTICS: Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here. Employment with the University will require successful completion of background check(s) in accordance with University policies. EEO IS THE LAW Penn State is an equal opportunity, affirmative action employer, and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473. Federal Contractors Labor Law Poster PA State Labor Law Poster Affirmative Action Penn State Policies Copyright Information Hotlines University Park, PA