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Part-Time Research Assistant​/Programmer - Yanxi Liu

Remote / Online - Candidates ideally in
University, Hillsborough County, Florida, USA
Listing for: Penn State University
Part Time, Remote/Work from Home position
Listed on 2026-06-25
Job specializations:
  • Science
    Research Assistant/Associate
Salary/Wage Range or Industry Benchmark: 21 USD Hourly USD 21.00 HOUR
Job Description & How to Apply Below
#
** APPLICATION INSTRUCTIONS:*** ## CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please to complete the. Please do not apply here, apply internally through Workday.* ## If you are NOT a current employee or student, please click “Apply” and complete .
** Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see .*
* ** 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.## Position Details
* ** Anticipated

Start Date:

** 6/30/25
* ** End Date:
** TBD
* ** Weekly

Hours:

** 20 +/- hours per week (flexible scheduling)
* ** Compensation:** $21 per hour
** The following are foundational and necessary skills:
**** 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## Application Instructions

To apply , please
** submit a resume and a cover letter
** detailing your background, relevant experience, and interest in this project, in Work Day.

For inquiries, you may contact Dr.Yanxi Liu at yul
11 or Dr. Robert Collins  look forward to your application and the prospect of working together!
** BACKGROUND CHECKS/CLEARANCES
** Employment with the University will require successful completion of background check(s) in accordance with University policies.

** CAMPUS SECURITY CRIME STATISTICS
** Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters.

The ASR is available for review .
** EEO IS THE LAW
** 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 .The Pennsylvania State University is committed to and accountable for advancing equity, respect, and belonging in all its forms.

We embrace individual uniqueness, as well as a culture of belonging that supports both broad and specific equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university’s teaching, research, and service mission.##

CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please to complete the Please do not apply here, apply internally through Workday.
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