Physics Informed Machine Learning for Space Power System Diagnostics and Control

About the role

The NASA Postdoctoral Program (NPP) offers unique research opportunities to highly-talented scientists to engage in ongoing NASA research projects at a NASA Center, NASA Headquarters, or at a NASA-affiliated research institute. These one- to three-year fellowships are competitive and are designed to advance NASA’s missions in space science, Earth science, aeronautics, space operations, exploration systems, and astrobiology.

Responsibilities

- Develop physics-informed machine learning techniques for fault diagnostics and control of space-based power systems. - Collaborate with NASA engineers and researchers on cutting-edge projects. - Present findings at scientific conferences and workshops. - Publish research results in peer-reviewed journals.

Requirements

- Doctoral degree in Engineering, Computer Science, or a related field. - Background in engineering, computer science, or a similar field. - Background in software tools such as Matlab, Python, and C/C++. - Experience developing machine learning algorithms. - Strong mathematical foundation specifically in linear algebra, differential equations, and optimization. - Solid communication and teamwork skills.

Qualifications

- U.S. Citizenship, U.S. Lawful Permanent Resident (LPR), Foreign Nationals eligible for an Exchange Visitor J-1 visa status, or applicants for LPR, asylees, or refugees in the U.S. at the time of application with a valid EAD card and I-485 or I-589 forms in pending status.

Skills

- Expertise in machine learning, particularly physics-informed methods. - Proficiency in programming languages such as Matlab, Python, and C/C++. - Strong analytical and problem-solving skills. - Excellent written and verbal communication skills.

Benefits

- Competitive salary commensurate with experience. - Comprehensive benefits package including health insurance, retirement plans, and professional development opportunities.

Pay

- Salary range: $70,000 - $100,000 per year, depending on qualifications and experience.

Schedule

- One- to three-year fellowship.