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Your profile PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science with a strong theoretical focus. Candidates should have an exceptional academic record and a robust mathematical foundation. While research experience is advantageous for PhD...
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Your profile Candidates should have an exceptional academic record and a robust mathematical foundation. They should have published works at the main conferences in the field of machine learning
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laser processing and to bring your ideas in AI/ML to the technology level. You have a solid background in programming (deep learning, reinforcement learning, etc.), electronics, high-speed data
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10%-30%, Zurich, fixed-term The chair of Forest Resources Management (FORM) is seeking a motivated student to assist in the development of Deep Learning approaches for tree species identification
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research in mineralogy, dynamics, and evolution of deep planetary interiors. Project background The Experimental Mineral Physics group applies high-pressure and high-temperature experimental approach mainly
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knowledge in NLP / Computer Vision, and Deep learning is a plus. Workplace Workplace We offer Inspiring working environment. During your work, you will have the opportunity to be coached by data scientists
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programming skills (Matlab/Python, C(++)) and experience with deep learning frameworks such as PyTorch, TensorFlow, Keras has been in your focus. Further, experience with standard supervised machine learning
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machine and deep learning for the development of a seamless neural weather forecasting system. This project is framed as a collaboration involving the Swiss Data Science Center, MeteoSwiss, and EUMETNET
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founders in launching their new ventures. ETH spin-offs are deep technology ventures based on research results from ETH Zurich. More than 30 ETH spin-offs are founded each year. Project background
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collaboration, particularly in promoting synergies between different specialist areas, and possess the ability to successfully acquire third-party funding and lead innovative research projects. Excellent