Postdoctoral Scholar: Scientific Machine Learning (Prof. Romit Maulik) (psu)
Job posting number: #134480 (Ref:REQ_0000058471)
This Job Posting is Expired.
Job Description
APPLICATION INSTRUCTIONS:
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JOB DESCRIPTION AND POSITION REQUIREMENTS:
Professor 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 for various optimization and control applications.
The College of IST is strongly committed to a diverse community and to providing a welcoming and inclusive environment for faculty, staff and students of all races, genders, and backgrounds. The College of IST is committed to making good faith efforts to recruit, hire, retain, and promote qualified individuals from underrepresented minority groups including women, persons of color, diverse gender identities, individuals with disabilities, and veterans. We invite applicants to address their engagement in or commitment to inclusion, equity, and diversity issues as they relate to broadening participation in the disciplines represented in the college as well as aligning with the mission of the College of IST in a separate statement.
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.
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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.
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