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technologies. The candidate will work at the intersection of Artificial Intelligence, Scientific Machine Learning, and Energy Materials, contributing to the design of self-driving laboratories and no-code
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of process control strategies, including model predictive control (MPC), nonlinear control, and optimal control theory. Proficiency in programming languages (Python, MATLAB) and experience with AI/ML
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optimal control theory. Proficiency in programming languages (Python, MATLAB) and experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn). Experience in data-driven modeling, deep learning, and
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papers and links to code/datasets (if available). 2–3 referee contacts. Selection & timeline (brief) Shortlist based on research fit, technical skills, and interdisciplinarity. Top candidates invited for a
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and develop recommendations. Area of specialization: soil microbiome analysis, general microbiology, Molecular Biology, Agronomy and, Sequence dat analysis and R coding skills Main responsibilities
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Science and Society, but also by examining the truth of scientific theories (this is the role of the epistemologist) and the impact of putting them into practice (this is the role of the researcher in
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links (ORCID, GitHub). Research statement (1–2 pages) with a 12–18 month plan. Up to 3 representative papers and links to code/datasets (if available). 2–3 referee contacts. Selection & timeline (brief