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) of the following: energy systems analysis with mathematical optimization (emphasis on adequate modelling, problem formulation), electricity markets, renewable gases (e.g. hydrogen). Provable programming skills
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group focus on algorithms and mathematical proofs, some on system design and building. As a new member of the group, you are supposed to contribute to research activities in the group and gradually build
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80%-100%, Zurich, permanent inspire AG is the leading Swiss competence centre for product innovation and advanced manufacturing. As a strategic partner of ETH Zurich, our mission is to transfer knowledge and technology from research to Swiss machine, electrical and metal industries. The research...
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innovation with biological applications in animal nutrition. Profile A PhD in data science, computer science, applied mathematics, bioinformatics, statistics, animal science, or a related field is preferred
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/ computational sciences or related field Good understanding of the mathematical and numerical foundations of machine learning, statistical analysis and modeling Proficiency in Python and its ML tech stack
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) or neural network-based methods. The level of the targeted problems will require further mathematical and algorithmic developments over the current state of data-driven SSM reduction. The PhD position will
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mathematics with outstanding grades Excellent knowledge of continuum mechanics and finite element analysis Excellent coding skills Knowledge and experience with fracture and/or phase-field modeling and/or
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characteristics that align well with the position: You are expected to have a Ph.D. degree in Engineering, Computer Science, Applied Mathematics, or related fields with an excellent track record in competitive
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-Performance Computing (HPC) environments, or Software Engineering. You are expected to have a Ph.D. degree in Mechanical Engineering, Computer Science, Applied Mathematics, Robotics, or related fields with
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intelligence and statistical modeling, we aim to generate profound insights. Unlike a traditional PhD in Computer Science or Mathematics, our research is highly applied, focusing on tailoring mobile technology