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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AI-Driven Materials & Manufacturing Research Associate employer: Camwebdir
Arm is an exceptional employer that fosters a diverse and inclusive work culture, encouraging collaboration across multiple countries in western Europe. With flexible working practices and a strong commitment to employee wellbeing, we empower our teams to shape the future of AI on edge devices while providing ample opportunities for professional growth and influence within the tech community. Join us to be part of a pioneering team that values innovation and supports your journey in the rapidly evolving field of machine learning.
