Salary/Position Classification

• $20.00 Hourly, Non-Exempt (Eligible for overtime)


• 10-20 hours per week


• 100% Remote Work Availability: No


• Hybrid Work Availability: No

This is a part-time, non-benefited position. Only UND students are eligible to be hired in this position.


The mission of RIAS (Research Institute for Autonomous Systems) is to create new autonomous systems through multidisciplinary research and lead development of world-changing autonomous policies, with the goal of driving a vibrant, diverse and sustainable economy consistent with ethical and legal standards.

RIAS is built upon five focus areas: autonomous platforms, applications, data supply chain, cybersecurity, and policy.
This opportunity will allow the student to be a part of the RIAS team and assist in the development of simulation modules and test algorithms related to autonomous systems, develop and test machine learning modules, use military based TAK, and so much more.

• Developing simulation models and test algorithms related to autonomous systems


• Developing and testing machine learning models to detect and follow objects


• Using military based Tactical Awareness kit (TAK) applications including ATAK, WinTAK, CivTAK, and VTak


• Operating and maintaining RIAS Research lab computers


• Integrating, testing, and deploying hardware/tech/tools related to autonomous systems


• Writing reports, tracking, and documenting progress


• Writing of proposals for research grants

• Knowledge about machine learning frameworks and/or Robotic Operating Systems


• Strong communication skills and attention to detail


• Requires minimal direct supervision to start, work, complete, and report on task and project status

• Work Study Students - must have accepted a Federal Work Study Award for the relevant term


• Must be a U.S. Citizen


• Successful completion of a Criminal History Background Check

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the US and to complete the required employment eligibility verification form upon hire.

• Knowledge of Python and/or C++ for programming


• Knowledge about machine learning frameworks and/or Robotic Operating Systems

For full consideration, applications must be received by the closing date and include the following materials:
* Resume/CV
* Cover letter
* Current class schedule


Please include in the application if you are currently or have in the past 12 months been employed with the University of North Dakota, the North Dakota University System or any other North Dakota State agency. If so, include which agency/department, as well as how many hours you work a week.


Career Services is here to help students looking for student employment positions at UND by offering individual sessions that include: resume, cover letter reviews, and interview preparation. Please schedule an appointment through Starfish or email us at und.careerservices@und.edu.