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University of California, Riverside
1 week ago
Postdoctoral Scholar in Advanced Manufacturing Systems University of California, Riverside in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Postdoc salary range is $71,491-$85,736 annually, depending on experience; initial appointment is for two years with possible renewal based on performance and availability of funding.
Deadline
Jun 30, 2027
Country
United States
University
University of California, Riverside
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About this position
The Department of Mechanical Engineering and the newly established AIM Hub at the University of California, Riverside are seeking a postdoctoral scholar to contribute to advanced manufacturing systems research at the intersection of artificial intelligence, digital twins, robotics, and big data analytics.
The role focuses on cutting-edge work in 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. The position sits within the Department of Mechanical Engineering in UC Riverside’s Bourns College of Engineering, with connections to the university’s postdoctoral research environment and the AIM Hub.
The successful candidate will join a research setting centered on advanced manufacturing, automation, and intelligent systems, contributing to projects that combine theory, data, and applied engineering for modern manufacturing operations.
The appointment is initially for two years, with the possibility of renewal based on performance and funding availability.
Funding details
Postdoc salary range is $71,491-$85,736 annually, depending on experience; initial appointment is for two years with possible renewal based on performance and availability of funding.
What's required
Applicants must possess a Ph.D. in Mechanical Engineering, Industrial 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; and demonstrated research excellence through publications and collaborative projects.
How to apply
Submit a CV, a brief statement of research interests, and contact information for three professional references through AP Recruit. Reference letters may be requested after the initial screening.
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Prepare your application
Review drafts and confirm requirements with the university.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.