C-UAS Aviation Research Assistant
Grand Forks
University of North Dakota
Salary/Position Classification
- 25 hourly, Non-Exempt (Eligible for overtime)
- 10 hours per week
- 100% Remote Work Availability: No
- Hybrid Work Availability (requires some time on campus): 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 including literature review and documentation efforts
- Develop 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.
- Assist the Aviation Department at the John D. Odegard School of Aerospace Sciences. - (Essential)
Required Competencies
- Strong writing Skills
- Strong communication skills.
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
- Only UND Aerospace students are eligible to be hired in this position.
- 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Classification Data analysis Data visualization Machine Learning ML models Python Research Testing
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