JOB DESCRIPTION AND POSITION REQUIREMENTS
The Department of Computer Science and Engineering is seeking a part‑time Research Assistant/Programmer to assist with robotics and machine learning research, as well as data collection and data analysis. This project is led by Dr. Yanxi Liu in the School of EECS at Penn State. This position is a unique opportunity to contribute to cutting‑edge research.
Position Details
- Anticipated Start Date: 6/30/25
- End Date: TBD
- Weekly Hours: 20 +/- hours per week (flexible scheduling)
- Compensation: $21 per hour
Approval of remote and hybrid work is not guaranteed regardless of work location.
Foundational and Necessary Skills
Programming & Environment
- Python
- Proficient in scripting, data manipulation, and debugging
- NumPy: experience with array operations, broadcasting, and vectorization
- Linux/Unix: familiarity with shell commands, SSH, file structures, and scripting
- Git: version control using GitHub or GitLab
Mathematics & Geometry
- Linear Algebra
- Basic matrix operations
- Coordinate Systems: understanding of world, camera, and image spaces
- 3D Transformations: rotation, translation, scaling, homogeneous coordinates
Deep Learning
- Experience with at least one deep learning framework such as PyTorch or TensorFlow
- Understanding of neural network architecture (e.g., CNNs)
- Loss functions, optimization, and backpropagation
- Training, evaluation, and debugging
- Computer graphics & vision fundamentals
- Computer graphics basics, mesh structure (vertices, faces, normals)
- Coordinate transformations
- Local vs. global frames, extrinsics/intrinsics
Background Checks & Clearances
Employment with the University will require successful completion of background check(s) in accordance with University policies.
EEO Statement
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 814-865-1473.