Part-Time Graduate AI/ML Research Assistant

The Pennsylvania State University; State College (Centre County); On-site; USD 25,000 - 28,000; Part time

Job summary

The Pennsylvania State University is seeking a part-time Wage Payroll Graduate Assistant to contribute to an NSF-funded interdisciplinary project on self-supervised visual learning. You will work with faculty PIs in Psychology and IST and fellow students to develop ML and CV algorithms, process data, run experiments, and document results.

The role emphasizes independent and collaborative work in a interdisciplinary environment, with responsibilities spanning research and manuscript preparation.

Qualifications

• Graduate student status (M.S. or Ph.D.) at Penn State.
• Background in AI, computer vision, machine learning or related field.
• Proficient in Python; experience with PyTorch or TensorFlow preferred.
• Familiar with CV, ML, or statistical learning methods.

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 statistical analyses; review literature.
• Assist with studies; document findings; and support manuscript preparation.
• Collaborate with PIs and students in a cross-disciplinary team.

Skills

Python programming

Machine learning

Computer vision

Analytical thinking

Communication

Education

Current enrollment in graduate program (M.S. or Ph.D.)

Tools

PyTorch

TensorFlow

Linux

Job description

The Pennsylvania State University is seeking a part-time Wage Payroll Graduate Assistant to contribute to an NSF-funded interdisciplinary project on self-supervised visual learning. You will work with faculty PIs in Psychology and IST and fellow students to develop ML and CV algorithms, process data, run experiments, and document results.

The role emphasizes independent and collaborative work in a interdisciplinary environment, with responsibilities spanning research and manuscript preparation.