Graduate Research Assistant — ML & Computer Vision

Penn State University; University Park (TX); On-site; USD 25,000 - 28,000; Part time

Job summary

Penn State University in University Park invites applications for a part-time, wage payroll Graduate Assistant position. The role supports an NSF-funded interdisciplinary project on self-supervised visual learning, collaborating with Profs.

Brad Wyble and James Wang and other students. Responsibilities include developing and evaluating ML/CV algorithms, implementing research software, processing datasets, running experiments, reviewing literature, and helping prepare manuscripts and reports.

Qualifications

• 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.

Responsibilities

• Develop and evaluate machine learning and computer vision algorithms.
• Implement and test research software.
• Prepare and process image and video datasets; conduct experiments and analyses.
• Review relevant scientific literature and document research findings.
• Assist with manuscript preparation, presentations, and research reports.

Skills

Python programming

AI/ML concepts

Computer vision basics

Analytical thinking

Communication skills

Education

Graduate student in Penn State (M.S./Ph.D.)

Tools

PyTorch

TensorFlow

Linux

Job description

Penn State University in University Park invites applications for a part-time, wage payroll Graduate Assistant position. The role supports an NSF-funded interdisciplinary project on self-supervised visual learning, collaborating with Profs.

Brad Wyble and James Wang and other students. Responsibilities include developing and evaluating ML/CV algorithms, implementing research software, processing datasets, running experiments, reviewing literature, and helping prepare manuscripts and reports.