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scarce and hinder the ability of the country’s researchers to advance in this most important field. Our collaborative efforts with the A*STAR Institute of High Performance Computing (IHPC) and other
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, prompting strategies, and retrieval systems for high-stakes environments Conducting pilot evaluations with judicial partners to study how AI tools perform in real decision-making workflows, and translating
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extension depending on programme needs and performance. Job description As the Admissions & Recruitment Manager, you will play a key role in managing the admissions process, organising recruitment activities
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of methods to program material stiffness in-situ with light. Goals: high stiffness contrast (rigid-soft), fast transition (<1s), and small form factor (< mm scale) Characterization and developing theoretical
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Experience with high-performance or distributed computing environments Good understanding of meteorological processes and numerical weather prediction Interest in DevOps practices and sustainable software
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scripting, high performance computing, or advanced statistics and data analysis frameworks (python, R) Regardless of background, the successful applicants will have an interactive personality, motivation
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. Strong programming skills in Python and familiarity with a modern ML stack (e.g., PyTorch, hydra, zarr, dask) Experience in handling and processing large datasets or experience in high-performance
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of interferometric optical systems Perform straylight and ghost analysis to ensure compliance with high-contrast performance requirements Contribute to the development of beam combination and wavefront control
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operating and advancing the data platform, assist interdisciplinary projects that integrate multiple data sources, and use high-performance computing resources to manage and process large environmental
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links to the ETH AI Center and the Reliability and Risk Engineering Lab . Job description Collaborate with other researchers to develop high-fidelity emulators for large-scale, energy system optimization