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(satellite) earth observation (e.g., radiative transfer modelling, data-driven (ML/DL) modelling, time-series, data assimilation), and willingness to delve deeper into these topics. Good programming skills
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topics. Good programming skills; experience with C, C++, Fortran or a matching. programming language. Good communication skills and proficiency in written and spoken English. A good team spirit. Some
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, building, programming, and validating measurement setups. You have experience with, or are motivated to learn, digital signal processing and analysis of time-domain measurement data. You have programming
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Eindhoven University of Technology (TU/e) | Eindhoven, Provincie Noord-Brabant | Netherlands | about 2 months ago
high demand. You will be supervised by Dr Gabriele Liga ( https://www.tue.nl/en/research/researchers/gabriele-liga ) and Dr Yunus Can Gültekin at TU/e. You will carry out two research secondments: one
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physics, as well as the team’s work on applied mathematics and advanced numerics, via the ACT website ( https://www.esa.int/gsp/ACT/) . You also are encouraged to visit the ESA website: https
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affinity for language data; solid programming skills (e.g., Python) and experience with machine learning or NLP, ideally including transformer-based models and word embeddings; excellent English
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background in working with optical laboratory setups (including lasers, detectors, free-space or fibre-based optics), real-time data acquisition or experience in programming and modelling (e.g
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, programming, or epidemiological modelling is advantageous but not essential. Most importantly, we are looking for a curious, motivated, and collaborative researcher who is eager to contribute to improving
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skills and proficiency in several programming languages would be considered an important asset. Diversity, Equity and Inclusiveness ESA is an equal opportunity employer, committed to achieving
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geophysical sensing or imaging techniques (e.g. GPR, seismic methods, ERT, EM methods). Demonstrated experience in quantitative data analysis and scientific programming (e.g. Python, MATLAB, R, or