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for operating and developing a research infrastructure comprising CPU- and GPU-based HPC systems, petabyte-scale storage, scientific web services, secure environments for sensitive data, and emerging AI-related
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for a strong early-career Python developer who is interested in bringing a research prototype into a working product. The role combines graph data, ML, and practical web development. Some technologies may
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in all its dimensions. Your position The purpose of the scholarships is to support you during the starting phase of your doctorate. Within the first six months of your scholarship, you will prepare a
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of containerization and continuous integration tools (Docker, Git/GitLab, CI/CD); familiarity with Kubernetes Basic scripting and task automation skills (bash) Basic web development skills (JavaScript/HTML/CSS
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design, particularly the development of web-based or desktop interfaces for scientific data visualization Experience with virtualization tools, e.g., Docker, Apptainer Experience with resource managment
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, GDAL) and spatial databases. Knowledge of urban heat island analysis and/or flood risk modelling is a major asset. Experience in the development or the coordination of a web-based geospatial platform is
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Hands-on experience with large language models and Python-based backend development Experience with web development is a plus Interest in hardware prototyping and interactive installation design is a plus
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expert for sciCORE infrastructures and research-support services Contribute proactively to the secure architecture and operation of sciCORE services, including security-related tools, HPC systems, web
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programming skills and hands-on experience in modern software development are essential. In particular, candidates must have experience in: ReactJS for web frontend development NodeJS for backend development
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. A strong interest and drive in developing these skills is expected. Your tasks may include: Collecting macroeconomic data from public statistical offices, central banks, international organizations