Open Rank Tenured/Tenure-track Professor, Department of Mechanical Engineering - Space Technologies
PhD-level Academic / Postdoc roles on Crosslinked list a median of $100k (225 that show pay). This posting does not list pay.
Build an externally funded research program in space technologies and teach core mechanical engineering courses.
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Worth knowing
Why it is interesting. Affiliation with the newly established Vanderbilt Institute for Innovations Beyond Earth, with space manufacturing among named research areas.
Might not be for you. Search centers on space systems, propulsion, and controls; materials work is only peripheral.
Adjacent materials roleOpen-rank ME faculty search; areas include "space manufacturing" and department strengths in "materials, and manufacturing"
- Seniority
- Entry level
- Work
- On-site
- Type
- Full-time
- Degree
- PhD
- Industry
- Aerospace
- Role
- Academic / Postdoc
Role details
The Department of Mechanical Engineering at Vanderbilt University invites applications for an open-rank, tenured/tenure-track faculty position to begin in Fall 2027. We are seeking outstanding candidates in mechanical engineering systems for space applications. Examples include, but are not limited to space vehicles design, thermal management in space, space manufacturing, aerospace propulsion, dynamics and control of space systems. This position will also be affiliated with the newly established Vanderbilt Insitute for Innovations Beyond Earth (VIIBE).
The successful candidate’s expertise should complement and strengthen existing departmental research in dynamics and control, robotics, thermofluid sciences, materials, and manufacturing. Candidates should have a strong theoretical foundation and a clear vision for applying fundamental mechanical engineering principles to space technologies. The successful candidate is expected to develop a strong, externally funded research program and to pursue excellence in both scholarship and teaching. They should be capable of teaching one or more core mechanical engineering courses and contributing to the expansion of graduate-level offerings.
Applicants with expertise in either experimental or computational research are encouraged to apply. Experience with the application of AI and machine-learning tools in research, and the incorporation of these technologies into teaching, will be considered a significant advantage.
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