Autonomous Processing Research & Development Internship
About The Position
The Tactical and Autonomous Processing Department of Penn State University's Applied Research Laboratory (ARL) is seeking undergraduate students for paid internship opportunities. ARL develops innovative solutions to national problems supporting the engineering and technology needs of the Navy, Department of Defense, and intelligence communities. ARL is an authorized DoD SkillBridge partner and welcomes transitioning military members to apply. Interns research, develop, analyze, implement, and test new capabilities for current and future autonomous undersea systems. The position is based at ARL's Science Park Building in State College, Pennsylvania. Interns may work up to 20 hours per week during the fall and spring semesters and 40 hours per week over the summer. Relocation and housing are not provided. Applicants must be U.S. citizens and must be eligible to obtain a government security clearance. Employment requires successful completion of background checks and a pre-employment drug screen, and compliance with ARL drug testing and applicable electronic and physical monitoring requirements. ARL operates in a secure information environment; personal electronic devices brought onsite must be registered and may be restricted in certain areas.
Requirements
- Must be a U.S. citizen.
- Must be eligible to obtain a government security clearance.
- Must successfully complete required background checks and a pre-employment drug screen.
- Must comply with ARL drug testing and applicable electronic and physical monitoring requirements.
- Undergraduate student; students studying Electrical Engineering, Mechanical Engineering, Computer Science, Computer Engineering, Aerospace Engineering, Applied Mathematics, Data Science, or Physics are encouraged to apply.
Nice To Haves
- Experience or interest in signal/image processing, object tracking, autonomous control, software development, artificial intelligence, and/or machine learning, including deep learning or reinforcement learning.
- Experience with MATLAB, C/C++, and/or Python.
Responsibilities
- Research, develop, analyze, implement, and test new capabilities for current and future autonomous undersea systems.
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What This Job Offers
Job Type
Part-time
Career Level
Intern
Education Level
No Education Listed
