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Diplomas Transcripts/grades from Bachelor’s and Master’s studies If you are successful, you will need to enrol in one of the EPFL doctoral school programs in parallel. Please check this page for
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in at least one programming language for geospatial analysis: Python (rasterio, geopandas, scikit-learn), R or Google Earth Engine. Experience with open-source tools (QGIS, GRASS GIS, GDAL) and
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scientific research independently Basic knowledge of scientific programming Data handling skills Good interpersonal skills, team player Good knowlege of English (written and spoken) We offer A dynamic
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PhD Student Position in Interoperable Digital Workflows for Regenerative Building Design and Perform
models, simulations, environmental databases, sensors, surveys, and interviews Experience in scientific programming, scripting, or workflow automation. Knowledge of Python or an equivalent language is
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Distributed Fibre Optic Sensing - Solid analytical and problem-solving skills - Programming experience (e.g., Python, MATLAB) and experience operating on large datasets - Ability to work both independently
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background, and an outstanding MSc degree in Engineering, Computer Science, Physics, Applied Mathematics, or a related field. You should be proficient in or willing to learn generative deep learning – in
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, the Lausanne center for ultrafast science, and the Quantum Science Center at EPFL Competitive salary, coverage of conference costs, a dynamic and inspiring scientific community. Informations The
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Engineering, Manufacturing Engineering, Materials Science, Computer Science, Data Science, Software Engineering, or a similar degree with an academic level equivalent to a two-year master's degree. We offer