204 developer-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at ETH Zurich
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100%, Zurich, fixed-term You are excited about forests, data, teaching, and the big question of how we can manage forested landscapes under uncertainty? You enjoy developing your own research ideas
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analysis methods and high-performance computing to develop solutions for specific societal and economic challenges. Located at the D4 Business Village in Root, close to Lucerne, ETH Swiss GeoLab works at
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& Planning: Data-driven methods for urban development, architectural and structural design, or building systems simulation. XR-Augmented Workflows to create, build or inspect: Using Augmented, Virtual
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independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges
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three years. Earliest starting date October 2026. Job description Work directly with the Principal Investigators at ETH Zurich and TUM to develop the research agenda, refine study designs, and drive
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on the development of new diagnostic and prognostic methods (biosensors, biomarker analytics, artificial intelligence), which are expected to be validated via their integration in clinical workflows. The new professor
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monitoring, and mineral characterization to develop a process-based framework for understanding when freezing promotes carbon release, carbon storage, or both. Job description Lead and execute controlled
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functional characterization. Our long-term goal is to develop materials with potential for technology transfer to semiconductor and photonic industries, as well as energy conversion and storage applications
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fundamental physical phenomena that emerge far from equilibrium. Our laboratory continuously develops and expands its experimental capabilities rather than relying solely on established instrumentation. We
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100%, Zurich, fixed-term We are seeking a skilled engineer to join the Apertus post-training effort. The ideal candidate will develop, run, and evaluate the SFT and reinforcement learning pipelines