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applications, including solving mathematical reasoning problems and tackling the Abstraction and Reasoning Corpus (ARC) challenge among others. The ideal candidate has a strong background in machine learning and
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Your profile PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science. Candidates should have an exceptional academic record and a robust mathematical foundation. Candidates are also expected to have strong coding and implementation skills, with the...
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the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real
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will acquire expertise at the frontiers of ultrafast science and apply it to conduct cutting-edge research on quantum materials. Further project details will be discussed during the interview. Job
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of catalytic coatings for water treatment. As a PhD candidate, you will: Develop novel and robust catalytic materials for efficient removal of emerging contaminants in water. Learn and apply advanced materials
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will: Develop novel and robust catalytic materials for efficient removal of emerging contaminants in water. Learn and apply advanced materials characterization techniques. Work with different analytics
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-thinking approach to your work, while enjoying the challenge of learning and mastering new tasks? Are you creative, curious, and motivated to optimize, develop, and implement new ideas? If so, you are
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diversityIn line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity
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active sites), in vitro and in vivo enzyme screenings, electrochemistry, and machine learning-assisted directed evolution. As part of this project, you will collaborate closely with PhD students and
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and environmental impacts while gaining a solid understanding of complex processes. You are highly motivated to learn and apply modern computational techniques. The ability to work independently and