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CFD methods DFT and Molecular modelling linked to CCUS Strong analytical and problem-solving skills, with an ability to interpret and analyze simulation and/or experimental results. Ability to work in
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for spatio-temporal data. Advanced Python skills and experience with ML frameworks and geospatial tools (e.g., PyTorch/TensorFlow, rasterio/GDAL). Ability to work independently and produce reproducible
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scientists with a strong background in thermal sciences, energy systems, or water technologies, and a demonstrated ability to operate in research environments oriented toward sustainability and impact. The
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to the supervision of Ph.D. students and guide their research work Candidate Profile: Due to the multidisciplinary character of ACER CoE, the ideal candidate must have as well a multidisciplinary scientific profile
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or secondary ores. The work will include the study of the thermal and physicochemical properties of minerals, design and execution of thermal treatment experiments (e.g., calcination, roasting, smelting), and
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technologies and mineral beneficiation processes. Strong analytical and problem-solving skills. Excellent written and oral communication skills in English or French. Ability to work independently and as part of
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based on feedback. Guarantee the reliability, security and scalability of the IoT solutions developed. Work closely with research teams to produce usable data and contribute to scientific publications
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English is a requirement. Excellent communication and interpersonal skills. High motivation and interest in scientific work Applications and selection procedure: Application folder must contain: Cover
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separation. Strong track record of publications in reputable peer-reviewed journals. Excellent communication skills (oral and written) in English. Ability to work independently as well as in a