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for key program deliverables. Drive the development of high-impact deliverables, such as the annual report and the Phase III Outline Proposal. Coordinate input across projects, synthesize insights, and
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-scale geospatial and Earth system datasets, within the NCCR CLIM+ program. The role bridges climate science and AI, developing novel methods for climate data analysis, downscaling, and synthesis using
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of material science. Examples are the use and development of muon instrumentation for the study of quantum and energy materials. The research program of this new professorship will be able to take advantage
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100%, Locarno, fixed-term Recent advances in AI-based weather prediction have demonstrated remarkable skill and computational efficiency. However, most current machine-learning weather prediction
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of Bern). The position will be hosted at the Institute for Atmospheric and Climate Science at ETH Zurich and will be part of the NCCR CLIM+ programme which is funded by the Swiss National Science
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environmental assessment, as well as policy and regulation. Job description The doctorates will be conducted within the Einstein School’s doctoral program. The positions are for three years, starting in September
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an internationally recognised, competitive research program sustained by external funding. Teaching experience at university level is expected. The candidate will teach at the Bachelor level and contribute
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Joint Research Centre under the Collaborative Doctoral Partnerships programme. For further information and detailed task description please see link below. Your profile Qualifications and Specific
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Graduate Institute of International and Development Studies, Geneva; | Switzerland | about 1 month ago
the Department of International Law. They will also be called upon to teach classes and supervise master’s dissertations in the interdisciplinary programme and may be asked to contribute to executive education
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dynamical systems, and machine learning, with applications to synthetic biology and biomolecular circuit design. Our research develops mathematical and computational frameworks for understanding and