College of IST Wage-Payroll Graduate Assistant
Job Location:
University Park, IL - USA
Monthly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
- 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 additional information on remote work at Penn State seeNotice to Out of State Applicants.
JOB DESCRIPTION AND POSITION REQUIREMENTS
The College of IST is seeking applicants for part-time job a part-time wage payroll GraduateAssistant.
The Wage-Payroll Graduate Assistant will contribute to an NSF-funded interdisciplinary research project investigating self-supervised visual learning inspired by human perception. Responsibilities may include developing and evaluating machine learning and computer vision algorithms; implementing and testing research software; preparing and processing image and video datasets; conducting experiments and statistical analyses; reviewing relevant scientific literature; assisting with studies as needed; documenting research findings; and supporting the preparation of manuscripts presentations and research reports. The student will work closely with faculty PIs ( of Psychology and James Wang of IST) and other students in a collaborative interdisciplinary environment.
Requirements qualifications and/or competencies:
- Current enrollment in a graduate program at Penn State (M.S. or Ph.D.).
- Background in artificial intelligence computer vision machine learning or a closely related field.
- Strong programming skills in Python; experience with PyTorch TensorFlow or similar deep learning frameworks is preferred.
- Familiarity with computer vision deep learning or statistical learning methods.
- Experience with scientific programming data analysis or software development in a Linux environment.
- Strong analytical problem-solving and communication skills.
- Ability to work both independently and collaboratively within an interdisciplinary research team.
- Excellent organizational skills and attention to detail.
- Prior research experience in mechanical engineering robotics materials science or related application domains is a plus but not required.
- Prior research experience publications or open-source software contributions are desirable but not required.
Compensation:
The starting rate for this job is $18-20 depending on qualifications.
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 .
Required Experience:
Junior IC
About Company
Penn State is a major, public, research-I university serving Pennsylvania and the global community. Learn more about our undergraduate, graduate, and doctoral degree programs.
