College of IST Wage-Payroll Graduate Assistant
Listed on 2026-08-24
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Science
Data Scientist, Research Assistant/Associate
Graduate Assistant
The College of IST is seeking applicants for part-time job a part-time, wage payroll Graduate Assistant.
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 (Profs. Brad Wyble 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, Tensor Flow, 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.
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