Active research areas at the Spacecraft Robotics Laboratory are:
-High-fidelity modeling and analysis of astrodynamics phenomena with emphasis on attitude and orbital proximity (including exact solutions and geometric approaches)
-Optimal guidance and non-linear control with emphasis on analytical and real-time executable methods for spacecraft attitude and orbital robotics applications
-Space system guidance, navigation & control development and experimental testing in the laboratory and in orbit.
The primary objective of the postdoctoral position is to offer the opportunity for excellent and self-motivated doctoral graduates to work at the forefront of research in a multi-cultural environment.
Publications in high impact international journals are expected and fostered, as well as participation in leading international conferences.
The candidates should have a doctoral degree in one of the following or related subjects: Aerospace, Mechanical or Control Engineering, Applied Mathematics, Applied Physics.
The research conducted at the Spacecraft Robotics Lab aims at general scientific contributions and uses a combination of analytical development, numerical simulations and experimental testing.
The Spacecraft Robotics Laboratory, founded in 2004, has hosted many NRC Postdoctoral Associates. Four of them are now faculty members at U.S. Universities (including R1 institutions), while three others are technical leaders at space companies, including SpaceX.
The position is for one year, renewable up to 4 years, depending on performance and availability of funding. The position is open to non-U.S. nationals as well as U.S. nationals. The position comes with a competitive salary, personal and family medical insurance, relocation allowance, and travel allowance for conference participation.
For more information, please visit the laboratory's website: https://my.nps.edu/web/srl
Astrodynamics; Spacecraft; Dynamics; Guidance; Control; Navigation; Multibody; Docking and on-orbit assembly; CubeSat; Orbital Robotics; On-board autonomy; Hardware in the loop experimentation; Modeling;