55 computer-science-programming-languages-"the"-"FEMTO-ST-institute"-"UCL"-"FEMTO-ST" positions at ETH Zurich
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Master’s degree in Computer Science, AI, Machine Learning, Mathematics, Electrical Engineering, or a closely related field; or Master’s degree in Medicine (MD) with strong Python skills and some ML
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documents or exceeding page limits will not be considered for evaluation. Please do not include Language Certificates, Transcripts, or other document not listed. The program exclusively accepts application
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interest and motivation to contribute to the project’s goals (see Job description section above) Outstanding academic record, including an excellent Master’s degree in Computer Science, Engineering, or other
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++ skills. GPU programming experience (CUDA, HIP, SYCL) is beneficial. Degree MSc student in computer science or computational science and engineering. Work location Zürich Topic C: CHatterbox: A RAG-Powered
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asset. You are fluent in English and enjoy working in an international, diverse, and interdisciplinary team. Degree in Computer Science or a related field Several years of experience as a
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, mechanical or electrical engineering, geosciences, physics, applied mathematics, computer sciences or related fields, and be at the beginning of their research career. Principal qualifications include strong
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Profile Enrolled in a master’s program at a Swiss university / ETH with a strong focus on data science or statistical methods (data science, computer science, economics, social sciences, etc.) Excellent
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Theory, Queuing Theory, Age of Information), Network Calculus, Graph Theory, Convex and Non-convex Optimization, Approximation Algorithms. An excellent Master’s degree in Computer Science, Engineering
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of the student's PhD thesis. The PhD program at D-USYS (Department of Environmental Systems Science), ETH Zürich typically lasts three to four years on average. PhD students usually have to conduct research, study
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for the renewable energy sector via the M2A European Training Network (ETN), funded by the European Commission’s Horizon 2020 Marie Skłodowska-Curie programme. Project background M2A puts forward a robust methodology