AI-Driven Materials & Manufacturing Research Associate

Company: CamWebDir
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Job Description:

The University of Cambridge, Department of Engineering, seeks a Research Assistant/Associate in AI for Materials and Manufacturing on a fixed-term basis to develop uncertainty-aware digital twin and AI control architectures for advanced materials processing.

The role involves multidisciplinary collaboration across protein design, nanocrystal synthesis, flow chemistry, printing, and scale-up, with an emphasis on machine learning for materials informatics and process optimization.

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Posted: October 9th, 2026