Part-Time Research Assistant​/Programmer - Yanxi Liu

JOB DESCRIPTION AND POSITION REQUIREMENTS

The Department of Computer Science and Engineering is seeking 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.

Weekly

Hours:

20 +/- hours per week (flexible scheduling)

Compensation: $21 per hour

Programming & Environment:

• Python
• Proficient in scripting, data manipulation, and debugging
• Num Py – Experience with array operations, broadcasting, and vectorization
• Linux / Unix – Familiarity with shell commands, SSH, file structures, and scripting
• Git – Version control using Git Hub or Git Lab

Mathematics & Geometry

• Linear Algebra
• Basic matrix operations
• Coordinate Systems – Understanding of world, camera, and image spaces
• 3D Transformations – Rotation, translation, scaling, etc., homogeneous coordinates

Deep Learning

• Experience with at least one deep learning framework such as PyTorch or Tensor Flow
• Understanding of neural network architecture (e.g., CNNs)
• Loss functions, optimization, and back propagation
• 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:
Employment with the University will require successful completion of background check(s) in accordance with University policies.

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 .

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