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University of California - Riverside
Postdoctoral Scholar in Advanced Manufacturing Systems
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What they do
An Advanced Manufacturing Engineer coordinates and manages manufacturing processes in within a manufacturing environment. Develops and implements product quality standards, evaluates and improves manufacturing methods for maximum efficiency. Estimates resource requirements, production times and schedule for manufacturing processes.
$129,943 / year median in California
+11% projected growth
Job Description
Postdoctoral Scholar in Advanced Manufacturing Systems University of California
- Riverside $71,491
- 85,736 United States, California, Riverside 900 University Avenue (Show on map) Aug 12, 2026 Position overview Position title: Postdoc Employee Salary range: $71,491
- 85,736 Anticipated start: October 1, 2026 Review timeline: Applications will continue to be accepted until August 24 2026 but those received after the review date will only be considered if the position has not yet been filled.
Application Window Open date:
August 12, 2026 Next review date: Wednesday, Aug 26, 2026 at 11:59pm (Pacific Time) Apply by this date to ensure full consideration by the committee.Final date:
Wednesday, Jun 30, 2027 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. Position description The Department of Mechanical Engineering and the newly established AIM Hub at the University of California, Riverside seeks a Postdoctoral Scholar in Advanced Manufacturing Systems. The successful candidate will conduct cutting-edge research at the intersection of artificial intelligence (AI), digital twins, robotics, big data analytics, and advanced manufacturing systems. The initial appointment will be for two years, with the possibility of renewal based on performance and availability of funding. The Postdoctoral Scholar will conduct advanced research in areas including AI-assisted manufacturing system design and reconfiguration, digital twins for manufacturing operations and optimization, human-AI collaboration for smart manufacturing decision-making, multi-modal machine learning using sensor, image, video, and machine-log data, and real-time monitoring, diagnostics, and process control. To be considered for this position, applicants must possess a Ph.D. in Mechanical Engineering, Industry Engineering, Manufacturing Engineering. Computer Science, Robotics, or a closely related field by the time of appointment. Preferred qualifications include a strong background in AI/ML, data analytics, optimization, or digital twins, experience with manufacturing systems, automation, robotics, or industrial data is preferred, and demonstrated research excellence through publications and collaborative projects. To apply, candidates should submit a curriculum vitae (CV), a brief statement of research interests and names and contact information for three professional references. May request reference letters after the initial screening. . Applications must be submitted through AP Recruit. Full consideration will be given to applications received by August 24, 2026. Postdoc salary ranges from $71,491- 85,736 annually, depending on experience upon start.
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Apply link:
https://aprecruit.ucr.edu/JPF02341 Help contact: maricelg@ucr.edu About UC Riverside The University of California, Riverside is a world-class research university with an exceptionally diverse undergraduate student body. UCR is a member institution of the American Association of Universities (AAU) and the Alliance of Hispanic Serving Research Universities (HSRU). A commitment to the UCR mission (https://apro.ucr.edu/mission-statement) is a preferred qualification. We seek to hire scholars who will both advance our research directions and effectively educate our undergraduate and graduate students, while also engaging with University and Professional service activities. Research and teaching statements that are included with application materials are opportunities for candidates to share knowledge, experience, and goals that support the mission of UCR. For more information on UC's criteria for successful faculty, refer to the Academic Personnel Manual (APM) 210- Criteria for Appointment, Promotion, and Appraisal (https://www.