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computational screening and process modelling The overarching goal is to connect atomic-scale mechanisms directly to their separation performance and to derive rational design principles for improved materials
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, contributing fundamentally to the design and fabrication of programmable living systems. Job description We are seeking a highly motivated PhD candidate to develop microfluidic platforms for reconstituting
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degree in Physics/Photonics/Engineering or equivalent Experience: Laser applications (measuring, processing, etc.), optical system design, assembly and usage Skills: Hands-on experimental mindset, strong
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(acoustics/multi-physics simulation, experimental planning, setup, measurements, analysis) Conceptualization and realization of novel setups (hardware integration, CAD design, assembly, etc.) Software
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the shared Geo-Intelligence Platform Adopt or set technical standards, priorities, interfaces and development principles aligned with GeoLab strategy and mission requirements Drive and lead the design
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the design of new experiments. The calculations will be performed using ETH Zurich’s high-performance computing infrastructure. In addition to research, the doctoral candidate will contribute to general
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researchers across ETH accelerate their research with frontier AI. You will partner with research labs to understand their scientific challenges and co-develop agentic solutions: multi-step pipelines that plan
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6,500 people supporting the three main missions of the institutions: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of more
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. Publishing at top venues in AI and responsible AI research (NeurIPS, ICML, ICLR, ACL, FAccT, EAAMO, AIES, CHI, etc.). Designing, building, and iterating prototypes that take their real-world context seriously
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6,500 people supporting the three main missions of the institutions: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of more