About the role#
Air traffic is becoming more complex with the rise of drones, air taxis, and new space launch activity. The Tactical ATC Super Intelligence team at NASA Ames Research Center is working on a shift where controllers can delegate tasks to intelligent automation. You will join this team to help build and test these automated Machine Learning and Super Intelligence methods. You are also encouraged to propose your own research ideas to explore during your time here.
What you'll do#
- Develop and evaluate automated Machine Learning and Super Intelligence technologies.
- Collaborate with the team on tactical air traffic control solutions.
- Present your findings to the NASA Ames Aviation Systems Division at the end of the term.
What you'll need#
- Current status as an undergraduate junior or senior, graduate student, or postdoctoral researcher.
- Proficiency in Java and Python programming.
- Experience with generative Super Intelligence, such as coding agents or local LLMs.
- Knowledge of explainable Super Intelligence.
- Major in Industrial Engineering, Computer Science, Computer Engineering, Aerospace Engineering, Electrical Engineering, Mechanical Engineering, Mathematics, or Statistics.
- You must be a U.S. citizen.
Location & details#
- This is a full-time, paid, on-site internship located in Moffett Field, California.
- The program runs from June 7, 2027, to August 13, 2027.
About NASA - National Aeronautics and Space Administration
The National Aeronautics and Space Administration is a government agency founded in 1958. It conducts research and development in aeronautics, space exploration, and science. The organization operates from various locations across the United States, including its headquarters in Washington, DC. With over 53,000 employees, it manages missions involving rockets, spacecraft, and Earth observation.
How to get in at NASA - National Aeronautics and Space Administration
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