28 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" positions at ETH Zurich
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disseminated through open-source code and scientific publications. Start: As soon as possible (applications reviewed on a rolling basis) Duration: 6 months (extendable) Job description Apply computational and
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community Contribute to R data publication packages washr and fairenough Profile You care about data and code being concise and easily reusable You know how to use standard data science tools (Git, GitHub, R
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related field Solid background in physical optics, experience in interferometry and/or cryogenic optics is an asset Extensive experience with optical design and simulation tools (e.g. Zemax, Code V, FRED
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(e.g., qualitative coding, statistics, simulation, ML) Publish results in peer-reviewed venues (conferences/journals) and contribute to paper writing Support lab operations as needed (maintaining
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seamlessly into code Contribute to brand identity: logo development, visual guidelines, style systems Profile Degree in Interaction Design, Visual Communication, Graphic Design, or related field Background as
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encouraged) A bioinformatics or coding portfolio, such as: A GitHub profile showcasing pipelines, analyses, or tools Published or preprint manuscripts, technical reports, or other examples of computational
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, ICML, ICLR) Proven ability to conduct independent, high-quality research Proven ability to write well-documented code in Python Strong motivation to work in a collaborative team environment and to
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Infrastructure-as-code tools (e.g. Terraform/openTofu) Automation tools and framework, including CI/CD processes and ecosystem (e.g., Gitlab CI, HashiCorp Vault) Experience with the following is preferred, though
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environments that help learners develop deeper conceptual understanding and problem-solving skills. Topics may include multimodal representations of code, intelligent feedback mechanisms, and the cognitive
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increasingly Artificial Intelligence approaches, we are now focused on making these innovations broadly available to the scientific community and beyond. We aim to bridge the gap between academic code and real