College of IST Wage-Payroll Graduate Assistant
Penn State University•University Park, IL
•$18 - $20
About The Position
The College of IST is seeking applicants for 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. 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
- 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
- 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
Nice To Haves
- Experience with PyTorch, TensorFlow, or similar deep learning frameworks is preferred
- 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
Responsibilities
- 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
- Supporting the preparation of manuscripts, presentations, and research reports
Benefits
- The starting rate for this job is $18-20 depending on qualifications.
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What This Job Offers
Job Type
Part-time
Career Level
Entry Level
