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chemistry and life cycle thinking in early decision-making. AI-based methods and hybrid models, which integrate data-driven and mechanistic modelling, hold significant potential to enhance prospective
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contact Holger Voos at: Your profile Solid experience / knowledge in the following areas: Design and modeling of soft materials and soft robotic components Modeling and simulation of drones Mechatronics and
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. The focus is on automatic emotion detection in text, with special attention to crosslingual differences in emotion verbalization and to how multilingual models deal with such differences. You will publish
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plentiful numerical simulations and access to vast real-world monitoring data are available from the outset, your focus will be on the development and critical assessment of the surrogate models, especially
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closed-loop control. The technology, developed through detailed computer simulations, will be validated with preclinical experiments. The candidate will be part of a multidisciplinary team working towards
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. You will work on a strategic research project funded by the Flanders Make. In this project we want to research and develop a transformer-based framework that couples with physics-based models to handle
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control & automation, robotics. You have proven experience with the control, modelling and simulation of mechatronic & robotic systems. You have proven experience in Python and/or MATLAB. You have
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-spotted spider mite, is among the most harmful pest insects worldwide. Due to its exceptional ability to adapt to various crops and pesticides, this mite serves as an excellent model system for studying
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, storage and demand. YOUR TASKS You will develop mathematical models and metaheuristic algorithms for complex optimization problems in the context described above, see e.g., https://arxiv.org/abs/2503.01325
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) to simulate material degradation under coupled mechanical-electrochemical conditions. You will start working on in-house implemented coupled deformation-diffusion-degradation material models, and focus