318 programming "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" positions in Switzerland
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examples of your programming work (if available) Further information about the ETH AI Center and the Swiss AI Initiative can be found on our website . Questions regarding the position should be directed
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repositories or other examples of your programming work (if available) Further information about the ETH AI Center and the Swiss AI Initiative can be found on our website . Questions regarding the position
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examples of your programming work (if available) Further information about the ETH AI Center and the Swiss AI Initiative can be found on our website . Questions regarding the position should be directed
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will not be considered. We plan to collect applications for 1 month (until July 19), and reserve the option to extend this window. About ETH Zürich ETH Zurich is one of the world’s leading universities
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results-oriented team player. Ideal profile includes following competencies and experience: Strong programming skills, deep statistical knowledge and a proven track record with machine learning Solid
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, including a list of publications if applicable, relevant research or professional experience, programming and analytical skills, and the contact information of at least two referees Transcripts of records
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. The ideal assistant studies in the Bachelor's or the Master's program of the Faculty of Business and Economics. In addition, a high level of self-reliance and an efficient attitude to work is expected
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already have strong experience in conceptual process design and simulations, life cycle assessment, alternative carbon source technologies, and programming You are highly motivated to learn and apply modern
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, or control strategies, while the underlying material properties remain largely fixed. This project explores a more fundamental route: robotic matter whose constitutive properties can be programmed on demand
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, materials science, or a related discipline, including: Background in solid-state physics and a demonstrated interest in experimental research Familiarity with scientific programming or atomistic simulations