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), signal processing, machine learning, computer vision, video processing After the qualification requirements, great emphasis will be placed on personal skills. Target degree: Doctoral degree Information
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and motivated individual to pursue a PhD in the area of machine learning with focus on explainable clustering. The prospect PhD student will join a research team in KTH led by Professor Aristides Gionis
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mobile manipulation tasks. We are seeking candidates with a strong background in robotics and machine learning, and demonstrated experience in two or more of the following areas: deep learning
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. The position is linked to a research project (through WISE and WASP ) in collaboration with experts in both machine learning and artificial intelligence (Pawel Herman at KTH’s Department of Computer Science and
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neural networks / machine learning. After the qualification requirements, great emphasis will be placed on personal skills. Target degree: Doctoral degree Information regarding admission and employment
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criteria for the specified third cycle studies. Specific knowledge in machine learning, data analytics, sector-coupling and Mixed-Integer Linear Programming (MILP) is a merit. In addition to the above, there
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dynamics, targeting large-scale systems equipped with GPUs and other accelerators. Key research topics include mixed-precision numerical methods, integrating machine learning into computational workflows
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with our research team, you will contribute to projects involving data integration, advanced analytics, and machine learning. While the projects are primarily computational, they are closely connected
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. Methods from probability theory, communication theory, electromagnetics, optimization and machine learning will play an important role. We are ultimately looking to either one of the two broad research
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communication theory, array signal processing, optimization, and machine learning will likely play a vital role. The research will mainly be theoretical, but KTH has testbeds for potential experiments. However