JPL Postdoc: Robust Low-Thrust Trajectory Design and Optimization Deep Space Missions

Job Details

New ideas are all around us, but only a few will change the world. That’s our focus  ask the biggest questions, then search the universe for answers—literally. We build upon ideas that have guided generations, then share our discoveries to inspire generations to come. Your mission—your opportunity—is to seek out the answers that bring us one step closer. If you’re driven to discover, create, and inspire something that lasts a lifetime and beyond, you’re ready for JPL.

Located in Pasadena, California, JPL has a campus-like environment situated on 177 acres in the foothills of the San Gabriel Mountains and offers a work environment unlike any other: we inspire passion, foster innovation, build collaboration, and reward excellence.

JPL is unique among NASA Centers in that its staff are Caltech employees, yet can access NASA technical resources. Cross-discipline teamwork is standard here: colleagues across JPL's science and engineering organizations and on Caltech's academic campus often work together. Learning to speak and understand other disciplines' languages is a doorway to the creativity needed to do what has not been done before.

JPL staff are encouraged to create mission concepts that address humanity's core questions through a combination of science and technology. They are supported in developing ideas into proposals and hardware, and in communicating funded missions' results to the scientific community and the broader public. JPL seeks to employ scientists and engineers who are passionate about lifelong learning and excited to both contribute to and lead team efforts.

We emphasize the importance of partnering across discipline boundaries and creating a friendly, constructive work environment to overcome space exploration's challenges. The Postdoctoral scholars at JPL benefit from an informal mentoring network, an annual conference showcasing their results, a dedicated seminar series, exposure to diverse career paths, and social connections across the JPL and Caltech community for advice on housing, childcare, and other aspects of living in southern California.

JPL is seeking a postdoc to conduct independent research in advanced low-thrust trajectory design and optimization for future deep space missions. The successful candidate will develop novel methodologies for designing robust low-thrust trajectories that account for realistic operational constraints and uncertainties, using the Psyche mission as a primary application.

The research will focus on expanding the theoretical foundations of low-thrust mission design by developing optimization approaches that are resilient to operational challenges such as safe-mode events, eclipse geometries, and other mission uncertainties. The postdoc will investigate innovative trajectory optimization algorithms, evaluate their performance using realistic mission scenarios, and publish research that advances the state of the art in spacecraft navigation and mission design.

Working within JPL's Mission Design and Navigation section, the postdoc will collaborate with researchers while leading an independent research that contributes to JPL's capabilities in low-thrust trajectory optimization.

• Conduct independent research in robust low-thrust trajectory optimization and mission design.
• Develop new optimization methodologies that account for operational uncertainties, safe-mode recovery, and eclipse constraints.
• Apply advanced trajectory design techniques to the Psyche mission and other representative deep space mission scenarios.
• Develop computational tools and algorithms to support low-thrust mission analysis.
• Publish research findings in peer-reviewed journals and present results at scientific conferences.

• Ph.D. in Aerospace Engineering, Physics, or a closely related field.
• Demonstrated expertise in low-thrust trajectory optimization and spacecraft mission design.
• Experience with numerical optimization methods, orbital mechanics, and trajectory analysis.
• Strong programming skills (e.g., Python, MATLAB, C++, or similar scientific computing languages).
• Strong analytical, problem-solving, and scientific…