157 parallel-computing-numerical-methods-"Prof" positions at ETH Zurich in Switzerland
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. Scientific IT Services (SIS - a section with ITS) aims at bridging the gap between computational research and IT services and infrastructure provisioning. We are working closely together with ETH researchers
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more comprehensible for you. The Research Analytics Services group, hosted by the section Research Support Services and Acquisitions, is hiring a specialist in library and information science as team
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. Prof. Menon has a strong publication record and has founded two start-up companies. His group is a team of imaginative builders who use their knowledge in materials science, engineering, computer
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100%, Zurich, fixed-term Applications are invited for a PhD position in the Air Quality and Particle Technology group (Prof. Dr. J. Wang). The successful candidate will work in the Laboratory
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candidate, your research will focus on developing and applying advanced computational methods for Bayesian inference and model calibration. Your main tasks will include: Investigating and developing novel
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. Experience with running numerical models is an advantage. Experience in working in a Linux/Unix high-performance computing environment is a plus. Good communication skills in English (written and spoken
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the “Basisprüfung” or its equivalent with good grades. MSc students and BSc students in the fifth semester or higher are preferred, although students earlier in their program will be considered if their grades
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Prof. Livia Schubiger. The candidate will work with the IRDS group on projects that leverage NLP, causal inference, and machine learning to explore norms related to gender-based and other forms
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science, engineering, computer science, and medicine to find bold, creative solutions to real-world problems. Prof. Menon’s lab is located in the Balgrist Campus , designed to foster collaboration. Built in
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computational methods for Reliability-Based Design Optimization (RBDO). Your main tasks will include: Investigating and developing novel methodologies to improve the efficiency and applicability of RBDO