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models and reinforcement learning models for 3D graphs of materials to explore vast inorganic chemical spaces and design synthesizable energy materials. You will couple such models with physics simulation
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 12 days ago
Job Offer from December 01, 2025 The Department of Molecular Simulations and Design (Prof. Dr. Matthias Stein) at the Max Planck Institute for Dynamics of Complex Technical Systems is inviting
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erosion, and rising sea levels—demand new digital solutions that can help scientists, policymakers, and communities visualise environmental change and interact with simulated scenarios spanning the past
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; Nguyen et al., 2023). By integrating large scale, multi-modal data and leveraging self-supervised and transfer learning, these models demonstrate satisfactory spatial-temporal simulation and predictions
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. Simulation-to-real-world transfer, where NMS model control policies acquired via RL are flashed on a physical robot to operate in the real world. Your tasks will be: Your core tasks will include using
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matrix could better resist to fire than the ordinary concretes [9,10], however no numerical simulation has been carried out to confirm. Description of the work: The PhD thesis includes two phases
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such goals via large-scale experiments or via simulation modelling? Then we have 2 PhD positions available, within the Dutch-Danish project Robotic Intercropping , within the focus areas ‘Agro-ecological
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the results of numerical simulations (ideliazed and in a cosmological context) with analytical models that they will develop, in order to understand the detailed physics of bar formation and evolution in
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of pseudorange correction models. Enforcing such constraints offers substantial potential benefits, including faster convergence, improved generalisation, and reduced overfitting. At the same time, these benefits
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technology increases the grid’s exposure to cyber-attacks, which can compromise measurement signals, disrupt control commands, or induce model or data-driven instability. This project aims to develop a robust multi