College of IST- Undergraduate Researcher in Multi-Agent Reinforcement Learning
PennState • United States of America, Penn State University Park,
Posted: May 19, 2026
Job 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 College of IST is seeking applicants for part-time job of Undergraduate Researcher in Multi-Agent Reinforcement Learning.
Job duties to include:
- Conduct research on multi-agent deep reinforcement learning, including designing novel algorithms and architectures, conducting computational experiments in benchmark environments, and compiling results into reports.
Requirements, qualifications, and/or competencies:
- familiarity with the theory of deep reinforcement learning
- familiarity with state-of-the-art multi-agent reinforcement learning algorithms, including both value-decomposition and policy-based methods
- experience with deep learning, including hands-on experience with PyTorch
- experience with conducting experiments in multi-agent benchmark environments, including MPE and SMAC
Compensation:
The starting rate for this job is $20.
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.
Additional Content
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 College of IST is seeking applicants for part-time job of Undergraduate Researcher in Multi-Agent Reinforcement Learning.
Job duties to include:
- Conduct research on multi-agent deep reinforcement learning, including designing novel algorithms and architectures, conducting computational experiments in benchmark environments, and compiling results into reports.
Requirements, qualifications, and/or competencies:
- familiarity with the theory of deep reinforcement learning
- familiarity with state-of-the-art multi-agent reinforcement learning algorithms, including both value-decomposition and policy-based methods
- experience with deep learning, including hands-on experience with PyTorch
- experience with conducting experiments in multi-agent benchmark environments, including MPE and SMAC
Compensation:
The starting rate for this job is $20.
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.