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

The Pennsylvania State University; University Park (TX, PA); On-site; USD 60,000 - 90,000; Full time

Job summary

An established industry player is seeking a postdoctoral scholar in Scientific Machine Learning to join their team at the University Park campus. This role offers the opportunity to develop and deploy cutting-edge SciML algorithms within high-performance computational physics codes. Ideal candidates will possess a Ph.D. in computer science, engineering, or mathematics, and will be committed to advancing equity and inclusion within the academic community. This one-year appointment, with potential for renewal, provides a platform to engage in innovative research and contribute to impactful projects in a collaborative environment.

Qualifications

• Ph.D. or terminal degree required prior to employment.
• Experience in developing SciML algorithms is essential.

Responsibilities

• Develop and deploy state-of-the-art SciML algorithms.
• Work on high-performance computational physics codes.

Skills

Scientific Machine Learning

High-performance computing

Algorithm development

Education

Ph.D. in Computer Science

Ph.D. in Engineering

Ph.D. in Mathematics

Job description

APPLICATION INSTRUCTIONS:

• CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Do not apply here; apply internally through Workday.
• CURRENT PENN STATE STUDENT (not previously employed at the university) seeking employment with Penn State, please login to Workday to complete the student application process. 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 candidates with a Ph.D. in computer science, engineering, mathematics, or related fields. Successful candidates must have a Ph.D. or terminal degree prior to employment at Penn State. This appointment is for one year, with the possibility of renewal based on performance and funding.

The Pennsylvania State University is committed to advancing equity, respect, and belonging in all its forms. We embrace individual uniqueness and foster a culture of belonging that supports equity initiatives, leverages inclusion benefits, and provides opportunities for community engagement, helping all members thrive. Belonging is a core strength and essential element of the university's mission in teaching, research, and service.

To apply: Please submit your CV, research statement, and any other relevant materials in a single PDF document.

Employment requires successful completion of background checks in accordance with university policies.

CAMPUS SECURITY CRIME STATISTICS:

Penn State publishes an annual security and fire safety report (ASR) in compliance with the Jeanne Clery Act and Pennsylvania law. The ASR includes crime statistics and policies on campus security, alcohol and drug use, crime prevention, and more. The report is available here.

Employment with the university will require successful background checks.

EEO IS THE LAW

Penn State is an equal opportunity, affirmative action employer, committed to providing employment opportunities regardless of race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or veteran status. If you are unable to use our online application due to a disability or impairment, please contact 814-865-1473.

Additional resources:

• Federal Contractors Labor Law Poster
• PA State Labor Law Poster
• Affirmative Action
• Penn State Policies
• Copyright Information

Hotlines

University Park, PA