UAS Aviation Research Assistant for C-UAS
Grand Forks
University of North Dakota
Salary/Position Classification
- $25.00 Hourly, Non-Exempt (Eligible for overtime)
- 10 hours per week
- 100% Remote Work Availability:No
- Hybrid Work Availability:No
Purpose of Position
This is a part-time, non-benefited position. Only UND Aerospace students are eligible to be hired in this position.
The applicant will assist the Aviation Department at the John D. Odegard School of Aerospace Sciences.
Duties & Responsibilities
- Support the team in software development in Aviation related research
- Literature review and documentation efforts
- Developing ML models for testing different use cases related to acoustic C-UAS
- Support the team in programming, deploying, and testing embedded modules to detect UAVs
Learning Outcomes
As a result of working in this position, the staff member will gain the following skills:
- Professionalism
- Communication
- Technology
- Critical Thinking & Problem Solving
Minimum Requirements
- Programming skills (Python and/or C++)
- Skill Level - Moderate and above
- Knowledge of data analysis tools, Data Visualization tools, and Basics of Machine Learning(ML)
- Background in Aviation and/or UAS operations
- Enrolled in a minimum of 1 credit for the employed academic semester
- 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. This position does not support visa sponsorship for continued employment.
To Apply
For full consideration, applications must be received by the closing date and include the following materials:
• Resume
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 Hawk Central or email us at und.careerservices@und.edu.
Tags: Classification Data analysis Data visualization Machine Learning ML models Python Research Testing
Perks/benefits: Career development
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