Professor (all ranks) – Hybrid Manufacturing
PhD-level Academic / Postdoc roles on Crosslinked list a median of $100k (225 that show pay). This posting does not list pay.
Build a funded research program in hybrid additive/subtractive manufacturing and teach undergraduate and graduate manufacturing courses.
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Worth knowing
Why it is interesting. Join a 23-faculty manufacturing school with nine NSF CAREER awardees, an NSF IUCRC on digital twins, and a 170,000 sq ft facility
Might not be for you. Machine, robotics and computational focus; materials is only one of several named areas
Heads-up: Cover letter required
Adjacent materials roleFaculty search in Hybrid Manufacturing (additive/subtractive); areas include materials processing, process/structure/property, coatings, surface modification, advanced materials
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
- Aerospace
- Role
- Academic / Postdoc
Role details
The Ira A. Fulton Schools of Engineering at Arizona State University (ASU) and School of Manufacturing Systems and Networks seek applicants for a tenure-track or tenured faculty position in Hybrid Manufacturing that combines several manufacturing processes from subtractive to additive, within innovative machines and production systems, for applications in defense, nuclear energy, aerospace, and medical sector.
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: Computational Design & Digital Manufacturing: Advanced CAD/CAM, digital twins/threads, multi-physics simulation, generative design, and intelligent optimization.
Hybrid Machine & Manufacturing Systems: Novel machine architectures and manufacturing platforms integrating multiple manufacturing processes, with robotics, automation, and in-process metrology. Materials Processing & Intelligent Control: Process/structure/property relationships; advanced materials processing and process-enabled multifunctionality; post-processing techniques such as heat treatment, finishing, surface modification, and coatings; and the sensing, modeling, and adaptive closed-loop control of manufacturing processes.
Quality, Metrology & Qualification: In-situ and post-process inspection; nondestructive evaluation; surface integrity, performance prediction; and accelerated qualification of materials, processes, and parts. Preference will be given to candidates whose research integrates one or more of digital design, manufacturing processes, machine systems, materials, sensing, and control to enable next-generation hybrid manufacturing with demonstrable improvements in productivity, quality, and part performance.
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 from Bachelor's, Master’s and Ph.D. 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 honors, 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 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.
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