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criteria: • Relevant PhD/DPhil (or be near completion), in engineering, physics, mathematics, or similar, together with relevant experience • Strong background in mathematical optimisation
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modelling; strong programming and research engineering ability (Python with modern ML tooling such as PyTorch/JAX) and good software practices; familiarity with interactive/agentic settings (e.g., tool-using
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We are seeking two full-time Postdoctoral Research Assistants in Machine Learning to join the Foerster Lab for AI Research group at the Department of Engineering Science (central Oxford). The post
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of EEE. About you You should possess a relevant PhD/DPhil (e.g. in Engineering, Product Design) and have knowledge of relevant sustainability assessment approaches such as Life Cycle Assessment. You should
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experts in biotechnology, mechanical engineering, software, and robotics. The candidate will have a broad remit to take leadership roles in the research team, including by co-designing new research
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advanced numerical simulation and/or optimization tools to the design and characterization of the facility; interact with other technical groups working on the Diamond-II design (e.g. Engineering