Rutgers University
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Fully Funded PhD Positions in Space Systems, Autonomy, and AI at Rutgers University Rutgers University in United States
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded research assistant positions are available for selected PhD students.
Country
United States
University
Rutgers University

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About this position
Funded PhD Research Assistant positions are available in the X-Bai Research Group at Rutgers University for students interested in space systems, autonomy, and AI.
The group develops intelligent, autonomous, and reliable capabilities for future space systems, with research interests spanning astrodynamics, optimization, robotics, machine learning, mathematics, physics, and broader engineering topics.
These positions begin in Spring, Summer, or Fall 2027 and are described as fully funded for selected students.
Applicants should be highly qualified and strongly motivated, with strong fundamentals and research maturity. The post emphasizes a willingness to keep learning new theories, computational methods, experimental techniques, and modern research tools.
To apply, interested students should email Professor Xiaoli Bai directly at [email protected] with a CV, academic transcripts, and a brief statement covering prior research experience, technical contributions, strongest relevant background, research interests in the X-Bai Research Group, and fit with the group.
Applicants are also asked to review the X-Bai Research Group website and current research directions before contacting the professor.
Funding details
Fully funded research assistant positions are available for selected PhD students.
What's required
Applicants should be highly qualified and strongly motivated PhD students with strong fundamentals and research maturity. Preferred backgrounds include relevant technical experience in mathematics, physics, engineering, astrodynamics, optimization, robotics, machine learning, and space science. Applicants should be willing to continually learn new theories, computational methods, experimental techniques, and modern research tools. A CV, academic transcripts, and a brief statement of prior research experience, technical contributions, strongest relevant technical background, research interests in the group, and fit are requested.
How to apply
Email Professor Xiaoli Bai directly at [email protected] with your CV, academic transcripts, and a brief statement of research experience, technical contributions, relevant background, and fit. Review the X-Bai Research Group website and current research directions before contacting.
More information can be found here
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