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) for engineering systems. Our research covers surrogate modeling, reliability analysis, sensitivity analysis, optimization under uncertainty, and Bayesian calibration. We are known for developing the UQLab software
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recovery trajectories and injury patterns. Integrate personalized physiological measurements into a recovery prediction model, while adapting Bayesian Neural Networks for SCI data and analyzing the impact on
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, interdisciplinary environment. Excellent communication, organizational, and problem-solving skills. Proven track record of scientific publications is an advantage. Workplace Workplace We offer The opportunity to work
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the Swiss Federal Railways via the ETH Mobility Initiative, will assess the ability to improve processes for rail system development to unleash efficiency gains, with specific examples for the cargo sector
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We look forward to receiving your application with the following documents as a single PDF: A cover letter indicating which track you are applying for (RL/Optimization, LLM/Knowledge or both) CV
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to document, track, and disseminate output, maintain and grow our communication channels with engaging content, organize events and outreach activities, and promote engagement with the public and industry. You
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inflammation, tracks environmental exposures and medication adherence, and applies AI/ML models to detect risk, predict exacerbations, and trigger timely, clinician-guided interventions. The project will deliver
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projects. A strong track record of scientific publications. Excellent teamwork, organizational and planning skills, a solution-oriented mindset, and creativity with the ability to innovate. Have social and
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errors Confident working with analytics dashboards, tracking tools, and reporting key metrics (Google Analytics, basic SEO, UTM tagging) Comfortable with custom code integrations or working alongside
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to changing conditions over the coming decades (e.g., when and where to expand rail, road, or cycling infrastructure, or add new transport services). Job description This doctorate aims to advance