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how such generalizations can be used to obtain efficient algorithms for geometric intersection graphs. The project will be supervised by prof. Mark de Berg. Information As a PhD student working on
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background or strong interest in machine learning, graph theory, and their mathematical foundations. Solid programming skills Experience with machine learning libraries or willingness to acquire Excellent
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are welcome; hiring can only take place once the Master’s/Diploma degree has been completed.) Solid background or strong interest in machine learning, graph theory, and their mathematical foundations. Solid
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extension to a total maximum of 4 years is possible. Your responsibilities: As a University assistant, you will contribute to the work group Machine Learning with Graphs led by Prof. Nils M. Kriege. Our
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background or strong interest in machine learning, graph theory, and their mathematical foundations. Solid programming skills Experience with machine learning libraries or willingness to acquire Excellent
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collaboration with the Intelligent Maintenance and Operations Systems (IMOS) Laboratory at EPFL (Prof. Olga Fink). IMOS focuses on the development of intelligent algorithms designed to improve the performance
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, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities