- Location
- Penn State University Park, United States of America
- Workplace
- Remote, Hybrid
- Type
- Part-time
- Department
- IT
- Education
- PhD
- Source
- Workday
Description
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.
JOB DESCRIPTION AND POSITION REQUIREMENTS
The John and Willie Leone Family Department of Energy and Mineral Engineering seeks a part-time Research Assistant in the research group of Dr. Luis F. Ayala H. to start in Fall 2026. The position supports numerical computational modeling of subsurface flow and well performance, mentors PhD students, and contributes to ongoing research projects. This is a temporary, part-time (wage-payroll) hourly appointment.
Job duties
- Mentoring new PhD students in numerical computational projects.
- Conducting comprehensive literature reviews in machine learning for subsurface flow and well performance and supporting relevant projects.
- Any other responsibilities outlined and agreed upon with your research advisor.
Required Qualifications
- Master’s degree in petroleum engineering, Energy and Mineral Engineering, or a closely related field; Ph.D. (or completion of all doctoral requirements) preferred.
Preferred Qualifications
- Experience with reservoir simulation and machine learning and the proficient use of corresponding software.
Application review will begin immediately and will continue until the position is filled. To be considered for this position, applicants must include a cover letter and resume.
BACKGROUND CHECKS/CLEARANCES
Employment with the University 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.
EEO IS THE LAW
Penn State is an equal opportunity 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.