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University of California, Riverside

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 flag

Country

United States

University

University of California, Riverside

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Keywords

Computer Science
Mechanical Engineering
Artificial Intelligence
Industrial Engineering
Automation
Digital Twin Technology
Big Data
Robotics
ML

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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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