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, showcases and deep dives for SNAI offerings) to optimize and grow the partnership and membership base. Manage accounts, be the single point of contact and connector for the members and facilitate
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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