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from machine learning, data science, and education with insights from educational practice. Drawing on large-scale data from authentic educational contexts, the project aims to generate robust and
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Your Job: Machine Learning (ML) and artificial intelligence (AI) based on neural networks are currently reshaping all aspects of society. In several areas, such as medicine, AI-based tools
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want to hear from you! Your Job: Work on a wide range of computer vision and machine learning methods and applications focusing on the aspects outlined above, inspired by the needs of societally relevant
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” research projects. One of the goals of the “VIB2SE” project is to investigate the mechanical vibrations of electrical machines under the influence of power electronics using one of our test rigs. You will
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of geothermal energy systems, the storage of energy sources and technologies to couple the energy sectors of heat, electricity and transportation. Machine learning and deep learning methods are increasingly
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Artificial Intelligence (AI) and Machine Learning (ML). In this position students will contribute to research projects in CKL and as part of their education, will also engage in a dedicated 6-months internship
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their thesis under our supervision. This project builds upon our prior work in Multi Agent Reinforcement Learning (MARL) for real-world use-case of aerial ad hoc networks (see our paper ) and aims to advance
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, machine learning, energy technology or related subjects Prior experience in building predictive models using regression techniques, neural networks (CNN, GNN) or symbolic regression Experience in
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classification systems (RISE, GradCAM, EigenCAM, Integrated Gradients, ViT Shapley, etc.) Implementation and execution of experiments in the field of machine learning (ML): Cleaning, preparing, splitting
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25.03.2026, Academic staff Applications are invited for a fully funded PhD position exploring the intersection of reinforcement learning, space-craft dynamics, and formal verification within