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quasi-Newton coupling algorithms for partitioned simulation of FSI, and we solve challenging FSI problems in the energy transition and in industry. This research is often in collaboration with another
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will design, implement, and validate novel algorithms, and benchmark them against state-of-the-art reconstruction pipelines. Strong programming skills (e.g., Python/C++ and GPU-based computing) and
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(Numerical Analysis and Applied Mathematics) develops numerical algorithms and software for large-scale problems in science and engineering. Its research ranges from algorithm design and analysis to software
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machine learning (ML) models and optimization algorithms specifically designed for highly dynamic satellite communication (SatCom) systems that can handle networks of varying sizes and configurations
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, high school timetabling, examination timetabling, master thesis defense assignments and scheduling and student project and master’s thesis assignments. For these problems, we wish to develop an algorithm
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, machine learning algorithms, and experimental condition-monitoring systems (accelerometers, acoustic emission sensors). WHAT WE ARE LOOKING FOR You have a strong interest in scientific and/or project-based
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that reduce raw data at the sensor level. You will develop AI and machine learning algorithms for anomaly detection, pattern recognition, and efficient data compression. To ensure practical usability
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systems, with a focus on 3GPP compliant 5G/6G NR NTN OFDM waveforms Develop and analyse signal processing and/or machine learning algorithms for joint channel, delay, Doppler and carrier phase estimation
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. The models will help interpret how different damage scenarios affect the ambient vibration signature. Both black-box and white-box damage identification algorithms will be assessed. The resulting digital twin
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MV-CT workflow for historical waste characterization at SCK CEN’s LNK (Laboratory of nuclear calibrations) facility. Key innovations include advanced physics-informed reconstruction algorithms and