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Keen to push the frontiers of multiphase reactor modeling and accelerate the scale-up of emerging net-zero technologies? Join us at the Department of Chemistry and Chemical Engineering ! About us
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of the two types of SAACD. This project will involve formalising and integrating the contributions of : (i) model-based and data-driven systems engineering (MBSE), (ii) embedded frugal (explainable and robust
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simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis optimization. AI/ML methods development: Neural networks, graph neural networks (GNNs), generative
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intersection of solid mechanics, constitutive theory, and data-driven modeling, while contributing to fundamental advances in soft material mechanics and developing transferable skills applicable to a broad
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dynamics for shape change. A further aspect of the project is learning and calibrating these models from data using data-driven inference methods. Who we are looking for Required qualifications A doctoral
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simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis optimization. AI/ML methods development: Neural networks, graph neural networks (GNNs), generative
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: Computational materials modeling: DFT, molecular dynamics, phase-field modeling, or multiscale simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis
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fundamental problems in biology and work towards foundation models of biological systems and innovative AI-driven biotech applications. The Laboratory of Computational Biology in Leuven (www.aertslab.org ), led
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to engineering, the natural sciences, and applications in medicine and life sciences. About the research project The research project develops stochastic and statistical models for large ensembles of interacting
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, transport processes, numerical modeling, and network theory. Familiarity with plant hydraulics (xylem/phloem transport), osmotically driven flow, and biomechanical modeling. Demonstrated experience in