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simulations software such as COMSOL or CST. Characterize samples in the lab. Model experimental data from first principles using Matlab/Python codes. Write scientific publications, file patents, disseminate
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areas. ● Strong computational/programming skills (Python/C/C++) including computational mechanics, and scientific machine learning. ● Excellent English communication skills (oral and written). We offer
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profile You have a master’s degree in computer science. You have experience with the humanitarian sector and/or in remote sensing. You are proficient in Python coding and deep learning frameworks. You are
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, Mechanical or Electrical Engineering, Control, Applied Mathematics, or a related field. You should have a solid foundation in machine learning and strong programming skills (Python, deep learning
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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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in English (written and spoken) and willingness to work as part of a team Familiarity with Python, MATLAB or similar for data analysis Familiarity with numerical modeling tools (e.g. OpenSees, Abaqus
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. Technical Skills Proficiency in remote sensing (satellite image processing, GIS, photogrammetry); Programming skills for geospatial analysis: Python (rasterio, geopandas, scikit-learn) or R
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interest in sustainability transitions and/or urban systems tipping dynamics. Good knowledge of computational modelling and programming. Experience with Python and agent-based modelling is particularly
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, Python, GIS, image analysis or remote-sensing software is an asset • Self-motivated, independent and collaborative mindset, with a high level of rigor for academic research • Excellent
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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