NASA is looking to solve complex trajectory design problems using artificial intelligence and machine learning to advance its missions in space science, Earth science, aeronautics, space operations, exploration systems, and astrobiology.
Requirements
- experience in space mission design
- trajectory optimization
- the application of machine learning
- patched two-body systems
- the circular restricted three-body problem
- the full ephemeris
Responsibilities
- The research for this position will focus on the application of artificial intelligence and machine learning to solving complex trajectory design problems.
- Specific applications will focus on tour design strategies and trajectory design within other multi-body or highly nonlinear systems.
- The emphasis will be on how AI methods can both characterize and optimize trajectories within complex design spaces.
- Within this context, contingency planning for robust trajectories under uncertainties and anomalies will also be explored.
- A range of models including patched two-body systems, the circular restricted three-body problem, and the full ephemeris will be used in relevant analyses.
- The emphasis throughout the study will be on developing methods and applications that are useful to the wider community and that can be published in the open literature.
Other
- Candidates should hold a Ph.D. in a relevant field
- All applications must be submitted in Zintellect
- A complete application to the NASA Postdoctoral Program includes: Research proposal, Three letters of recommendation, Official doctoral transcript documents
- Applications with citizens from Designated Countries will not be accepted at this time, unless they are Legal Permanent Residents of the United States.
- Eligibility is currently open to: U.S. Citizens; U.S. Lawful Permanent Residents (LPR); Foreign Nationals eligible for an Exchange Visitor J-1 visa status; and, Applicants for LPR, asylees, or refugees in the U.S. at the time of application with 1) a valid EAD card and 2) I-485 or I-589 forms in pending status
