Professor (all ranks) – Physical AI in Robotics & Manufacturing
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 physical AI for robotics and manufacturing and teach engineering courses.
Weekly, free, one-click unsubscribe.
Worth knowing
Why it is interesting. Joins a 23-faculty manufacturing school with ties to the NSF digital twins IUCRC and the Phoenix semiconductor and aerospace industry.
Might not be for you. Focus is AI, robotics and controls; materials work is only a minor part of the named areas.
Heads-up: Cover letter required
Adjacent materials roleManufacturing systems faculty search; areas include 'materials, mechanical systems', manufacturing processes, digital twins, closed-loop manufacturing
H-1B filings
Arizona State University filed 35 H-1B labor applications for scientist and engineer roles from Jan to Dec 2025.
Most common titles: Assistant Professor, Assistant Research Scientist, Postdoctoral Research Scholar. Median filed pay: $89K a year.
Universities are exempt from the H-1B cap, so roles here skip the lottery.
From U.S. Department of Labor disclosure data. A filing is a record of past hiring, not a promise about this role, so confirm sponsorship with the employer. Titles and filed pay ·Every employer's filings
- Seniority
- Entry level
- Work
- On-site
- Type
- Full-time
- Degree
- PhD
- Industry
- General manufacturing
- Role
- Academic / Postdoc
Role details
The Ira A. Fulton Schools of Engineering at Arizona State University (ASU) and the School of Manufacturing Systems and Networks seek applicants for a tenure-track or tenured faculty position in Physical Artificial Intelligence (AI) in Robotics & Manufacturing. The School of Manufacturing Systems and Networks ( https://msn.engineering.asu.edu/), one of the eight Fulton Schools, houses a vibrant community conducting research at the intersection of robotics/autonomous systems, manufacturing processes, and AI/data science engineering (learn more at https://research.engineering.asu.edu/ ). We seek applicants who can enhance our abilities in these areas as part of a community of experts.
Particular areas of interest include, but are not limited to: Embodied AI & Autonomous Systems: Multimodal perception, reasoning, learning, planning, control, and edge computing for intelligent robotic and physical systems. AI Hardware Co-Design & Physical Intelligence: Integrated design of AI, sensing, actuation, embedded computing, materials, mechanical systems, and control. Digital Physical Systems & Autonomous Manufacturing: Digital twins, physics-informed AI, sim-to-real learning, intelligent experimentation, generative design of manufacturing systems, and closed-loop manufacturing.
Trustworthy & Resilient Physical AI: Safe, reliable, real-time, and secure AI-enabled physical systems operating under uncertainty and/or in extreme environments. Preference will be given to candidates whose research tightly integrates advances in artificial intelligence with physical hardware, sensing, actuation, computation, dynamics, and control, and who demonstrate these advances on real robotic, manufacturing, or cyber-physical systems.
We search for applicants who will contribute to our academic programs, promote transdisciplinary teaching and research, and help the university to achieve its aspirations, including enabling student success, transforming society, valuing entrepreneurship, and conducting use-inspired research. Faculty members in the Fulton Schools are expected to develop an internationally recognized and externally funded research program, adopt effective pedagogical practices in the development and delivery of undergraduate and graduate courses, advise both undergraduate and graduate student research and projects, and undertake service activities.
The School of Manufacturing Systems and Networks (SMSN) is dedicated to advancing innovation in manufacturing science and engineering. SMSN has a dynamic group of 23 faculty members, including nine recipients of the NSF CAREER award, who collaborate across various research areas like manufacturing process science, automation & robotics, smart manufacturing, data analytics, and AI. Faculty are encouraged to create broader impacts through their research, not only by generating knowledge but also through technology transfer and entrepreneurial ventures.
SMSN’s location in the Phoenix metro offers close ties to the aerospace & defense industry, semiconductor/microelectronics industry, and national laboratories, facilitating collaborative research. SMSN also contributes significantly to the NSF IUCRC on Digital Twins in Manufacturing, Southwest Advanced Prototyping Hub (SWAP), Global Futures Laboratory, and the ASU Space Initiatives. SMSN stands out for offering an integrated suite of programs in Manufacturing and Robotics and Autonomous Systems Engineering respectively.
SMSN’s faculty is currently housed within a state-of-the-art, approximately 170,000-square-foot facility, further enhancing its leadership in manufacturing & Robotics innovation. We are seeking faculty who can contribute to SMSN’s mission and specifically invite candidates to address how they can do so in their cover letter. Appointment will be at the Assistant/Associate/(full) Professor rank, commensurate with the candidate’s experience and accomplishments, beginning August 2027.
Essential Functions
Contribute to curriculum development. Deliver instruction in-person and/or online. Supervise undergraduate, master’s, and doctoral students. Conduct research publishable in top-tier journals and/or conferences in the discipline. Develop grant proposals for external funding as PI or co-PI. Participate in professional and internal service.
Required qualifications
Earned doctorate in Manufacturing, Mechanical Engineering, Electrical Engineering, Computer Science, or a closely related discipline by the time of appointment. Evidence of excellence in research, as appropriate to the candidate’s rank. Evidence of excellence in teaching, as appropriate to the candidate’s rank. Desired qualifications Demonstrated commitment to a collaborative, transdisciplinary approach to research and teaching.
Related roles
UO Associate or Full Professor Rank, Ohio Eminent Scholar in Chemistry, College of Arts and SciencesUniversity of Cincinnati · Cincinnati, OH
UO Assistant or Full Professor: Cancer Research Cluster HireUniversity of North Texas · Denton, TX
UO Associate or Full Professor Rank, Ohio Eminent Scholar in Chemistry, College of Arts and SciencesUniversity of Cincinnati · Cincinnati, OH
TU Tenure-Track Assistant or Associate Professor in Biological ChemistryThe University of North Carolina at Chapel Hill · Chapel Hill, NC
HU Medicinal Chemistry Faculty PositionHarding University · Searcy, AR