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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoc: Networked Systems Abstractions Lab (LASeR) Mission The EPFL Networked Systems
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code Developing agentic AI workflows for specification autoformalization, proof generation, and proof repair Build a strong network in the fields of formal verification, systems, and ML infrastructure
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lab members, the group's organoid/tissue-engineered infection models (airway, gut) to prioritize physiologically relevant hits Co-supervise PhD students and contribute to method development, data
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collaboration with the team. Your profile PhD degree in physics, materials science, chemistry, electrical engineering or a related discipline Knowledge of UHV and thin-film technology Prior experience in PVD and
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profile PhD degree in physics, materials science, chemistry, electrical engineering or a related discipline Knowledge of UHV and thin-film technology Prior experience in PVD and surface science Prior
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoc in the Theory of Non-Equilibrium Chemical Reaction Networks Mission The National Centre
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by connectome-constrained artificial neural networks. Candidates from outside the field of neuroscience are encouraged to apply, but must be curious, persistent, and passionate to delve
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this new hybrid network. Your code will directly enable the next generation of energy-efficient AI clusters. Project scope You will bridge the gap between custom optical hardware and standard AI software
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students and fellow postdoctoral researchers within the laboratory and across EPFL’s international research network. Profile PhD degree in environmental engineering, microbiology, chemical engineering, or a
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. The precise research topic(s) will be discussed with the successful candidate depending on their background, expertise and affinities. Analysis and publication of results Build a strong network in the field