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renewable energy generation.KU Leuven leads Modelling and Optimization, which focuses on: Developing hybrid models combining first-principle and machine learning approaches. Creating predictive frameworks
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you to apply. The opportunity to work on a challenging and advanced research topic, in a dynamic academic environment, to acquire research and project management skills, to network with leading
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) inconsortium/institutional seminars and national/international symposiums or conferences. Eager to carry out visitations (if required) to other laboratories (within Belgium or abroad) for learning new techniques
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diverse, international, and multidisciplinary research team • Opportunities to collaborate with scholars of different levels and with communities in six countries • We also offer a supportive learning
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knowledge of Microsoft Word, Excel and PowerPoint. You have experience in, or are willing to learn MATLAB. You hold the FELASA B certificate, or international equivalent or you are willing to follow a
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international workshops and conferences, presenting and discussing your research globally. Teach and contribute: Provide support for teaching activities and teaching innovation. Build up and apply skills: Build
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are eager to learn, you are able to reflect on your own approach to work and you welcome feedback as an opportunity for development- You are engaged at work, but you are also able to easily disconnect
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neuromorphic ultra-low-power active sensor readout and processing at the edge. The chip design will enable online learning capabilities, aiming at modulating the spatio-temporal filtering properties with
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off-the-shelf sensors and the development of resilient algorithms that combine first-principles modeling with modern machine learning techniques. The goal is to push the boundaries of robust perception