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of the systems. Our work combines process analysis and system modeling to design optimal new technologies and transition pathways simultaneously. To holistically evaluate the environmental impacts of processes and
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part in the planning and optimization of new workflows. Close collaboration with other units of the ETH Zurich—particularly the Institutional Research team—will be essential for your success. Beyond your
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optimal new technologies and transition pathways simultaneously. To holistically evaluate the environmental impacts of processes and energy systems, we develop predictive methods for Life Cycle Assessment
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-stakeholder collaboration across phases to improve decisions. Methods may include AI/ML (incl. LLMs), XR, robotics, simulation, optimization, or others that fit your research question. We welcome foundational
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Mission. Help optimize the balance between scientific return, technology readiness, and mission feasibility while coordinating with the project manager to align schedule and cost. Lead system-level trade
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intersection of engineering and biology. Job description Design, synthesize and engineer biomaterials with customizable properties Evaluate and optimize physicochemical properties of biomaterial scaffolds for 3D
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of engineering and biology. Job description Design and engineer biomaterials that support advanced 3D organoid culture Optimize microfabrication strategies for organoid engineering Integrate organoid models with
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are working closely together with ETH researchers to provide support in the wide area of scientific computing from data management and analysis, development of scientific software, to porting and optimizing
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-transportation system, we are looking for a: PhD Student in Data-Driven Policy Optimization for Transportation and Energy (100%) Project background Our energy and transportation systems are rapidly transforming in
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We look forward to receiving your application with the following documents as a single PDF: A cover letter indicating which track you are applying for (RL/Optimization, LLM/Knowledge or both) CV