Autonomous Processing Research & Development Internship

Penn State University•University Park, IL

3d•Onsite

About The Position

The Tactical and Autonomous Processing Department of Penn State University's Applied Research Laboratory (ARL) is seeking undergraduate students for internship opportunities. ARL develops innovative solutions to challenging national problems in support of the Navy, Department of Defense, and intelligence communities' engineering and technology needs. ARL is also 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 paid internship is based at ARL's Science Park Building in State College, Pennsylvania. Interns may work up to 20 hours per week during 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 eligible to obtain a government security clearance. Employment requires successful completion of a pre-employment drug screen and background checks. ARL employees participate in its drug-testing program and comply with electronic and physical monitoring requirements applicable to federal contractors. ARL operates in a secure information environment, and personal electronic devices brought onsite must be registered and may be restricted in certain areas.

Requirements

Be an undergraduate student.
Be a U.S. citizen.
Be eligible to obtain a government security clearance.
Successfully complete the required pre-employment drug screen and background checks.
Comply with ARL drug-testing and electronic and physical monitoring requirements applicable to federal contractors.

Nice To Haves

Study Electrical Engineering, Mechanical Engineering, Computer Science, Computer Engineering, Aerospace Engineering, Applied Mathematics, Data Science, or Physics.
Have experience or an interest in signal or image processing, object tracking, autonomous control, software development, artificial intelligence, or machine learning, including deep learning or reinforcement learning.
Have experience with MATLAB, C/C++, or Python.