Assistant Professor
Other
other
5 Nov 2025
Rochester
Verified by Turrior
Content + Source + Freshness • 13 Dec 2025 • 95% confidence
70 / 100
Offer value
Decent offer with potential growth in a specialized field but lacks clarity in compensation and work-life balance.
- Focus area in AI and intelligent manufacturing.
- Expectation to develop a funded research program.
- Opportunity to teach at both undergraduate and graduate levels.
- Requires significant previous experience.
Pros
- Focus on machine learning and artificial intelligence in engineering.
- Expectation for external research funding promotes innovation.
- Opportunity to teach at both undergraduate and graduate levels.
Cons
- Unclear compensation structure and insufficient details on benefits.
- Demands for externally funded research could increase pressure.
- Potential work-life balance issues due to expectations.
Who it's for
Mid-career to Experienced • In-person
Good fit
- Experienced professionals in AI and mechanical engineering.
- Candidates eager to shape future engineers.
- Individuals interested in research funding and innovation.
Not recommended for
- New graduates without practical industry experience.
- Candidates seeking only remote work options.
- Those uninterested in the demands of research funding.
Motivation fit
Desire to innovate in smart manufacturing technologies.Interest in teaching and curriculum development.Readiness to engage in both research and practical applications.
Key skills
Machine learning and AI expertise.Research proposal development.Teaching and mentoring abilities.Industry collaboration skills.
Score: 70/100 AI verified analysis
About the job
Job Description Summary:
We seek applicants with research and teaching interests related to system design and smart manufacturing with a focus on data-driven methodologies using machine learning and artificial intelligence. Successful candidates will be expected to develop an externally funded research program that includes fundamental and/or applied research. The candidate should be able to teach and develop courses in AI/Design/Smart manufacturing related subjects at both the undergraduate and graduate levels.
Minimum Qualifications:
An earned doctorate in Mechanical Engineering or a closely related field is required
Special Instructions to Applicants::
Applicants should submit a cover letter, curriculum vitae, unofficial transcripts and statements of research and teaching interests to https://jobs.oakland.edu/postings/36354 . Contact information for 3 references should be provided and letter writers will be contacted by the online hiring system. An application is considered complete when all required information is received.
