26 coding-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"FEMTO-ST" positions at ETH Zurich
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Engineering, Applied Mathematics, Physics or a related field strong programming skills, e.g. in Python, Julia or C++, and experience in writing clean, well-tested code experience in numerical methods
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, OpenRouter) storing, querying, cleaning, and validating data using SQL/PostgreSQL applying NLP, statistical methods, and LLM-based approaches to textual data deploying and maintaining research code on Linux
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, MSc and PhD students Profile PhD in Sports Sciences or Engineering in the context of Sports Sciences Experience with longitudinal studies, tracking load and recovery in athletes Excellent coding
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CV A short cover letter explaining your motivation for the project and how your previous experience makes you a good fit for the position. Link to your relevant projects / code samples (optional
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, critical use of AI-assisted tools in research and code development, we treat these as part of the standard toolkit and expect them to be used with judgement Fortran is useful, as parts of our modelling
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and structural biology methods (X-ray crystallography, cryo-EM or NMR) Evidence of commitment to reproducibility, e.g. through careful record-keeping, code repositories or open protocols A strong desire
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coding workflows (e.g., Claude Code), are a clear advantage Track record of first-author publications Excellent written and spoken English; team-oriented mindset Workplace Workplace We offer A newly
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ethical issues and research requiring authorization or notification; template document provided. signed NOMIS code of conduct; template document provided. two external letters of reference
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workflows Build and run RL environments for tasks with verifiable outcomes, such as mathematics, code, tool-use, and reasoning Implement and run reward modelling, reward calibration, and verifier-based
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infrastructure for these studies, including prompt design as a controlled manipulation, generative voice agent pipelines, conversation logging and transcription Extending and validating existing LLM based coding