Penn State University-posted 3 months ago
Intern
Hybrid • University Park, PA
Educational Services

We are seeking Undergraduate and Graduate Student Co-ops to support research, development, and engineering activities in the Navigation Research and Development Division (NRDD) of The Applied Research Laboratory (ARL) at Penn State, located in Warminster, PA. Penn State's Applied Research Laboratory (ARL) is a Department of Defense (DoD) designated University Affiliated Research Center (UARC), which serves as a center of research excellence in a multitude of areas. ARL conducts basic and applied research, exploratory development, and advanced development in support of the U.S. government organizations; contributes to the educational objectives and research goals of Penn State; and promotes the transfer of advanced technology to the U.S. government. NRDD is focused on developing the most advanced navigation technologies in the world, built around unique laboratories specially designed to test the most precise navigation sensors and systems. The mission of the NRDD is to conduct new navigation technology research and development, systems engineering and to provide expert knowledge for our Navy, Army, and other U.S. government sponsors.

  • Conduct research and development of navigation algorithms
  • Work with a cooperative team of experienced engineers to support research projects being conducted at the NRDC
  • Engage in projects related to state estimation for navigation, modeling and simulation of sea vessels, modeling and simulation of geophysical systems, and robotics and autonomous systems
  • Build skills in simulation/analysis with MATLAB, programming in C#/C++/Python, working in Linux, filter design, simulating physical systems, and implementing control algorithms
  • Undergraduate or Graduate student status
  • Majors preferred: Electrical Engineering, Computer Engineering, Physics, and Mathematics
  • Availability to work at the Warminster facility for a six month time period
  • U.S. citizenship required for government security investigation
  • Successful completion of a pre-employment drug screen
  • Interests in modeling dynamic systems
  • Interests in optimal filtering and state estimation
  • Interests in control systems
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