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partners, and monitoring budgets. Required Qualifications : PhD: A PhD in digital public health, urban health, data science applied to health or urban planning, smart urban systems, or a related field
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in UM6P's collective projects and external missions, and to provide support to students (PhD and Master), i.e., supervision for the writing of reports, dissertations and end-of-study papers. Skills
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. The candidate must hold a PhD in Urban or Rural Development, Civil Engineering or related domain. The candidate is expected to have hands-on experience in field related to urban or rural planning, renewable
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stakeholders. Contribute to scientific publications and establish partnerships with public, private, and academic institutions. Required Qualifications PhD in one of the following fields: smart urban systems
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recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically LLMs
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. The primary objective is to design robust and efficient planning solutions—integrated within a digital twin—that account for the uncertainties and variability inherent in industrial processes. Machine learning
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journals in the field. Participate to the supervision of PhD students and research internships. Criteria of the candidate: PhD in the field of Cryptography, Computer security or any related field. Strong
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, that allow us to assess plant’s water budget in response to abiotic stress and nutrients’ application. An indoor system with (i) the phenotyping machines, "PhenoMerzouga.v2", which is a small-scale lysimetric
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at one of OCP Group’s production sites. The project will rely on Operations Research and Machine Learning approaches. The objective is to redesign the extraction methods by considering their impact on
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successful post-doc candidate will work with a professor of the College. The position is open to individuals with a PhD degree from a recognized university and with substantial expertise in Computer Systems