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technologies Data analysis of real-world monitoring data Artificial intelligence and machine learning for engineering applications Researchers in COMBINE benefit from interdisciplinary, international,and inter
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, Enviromental, and Geomatic Engineering, has an opening for a PhD student. This position focuses on leveraging vehicle sensors, remote sensing, and machine learning to support modern urban road safety analysis as
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academic and industrial research. The topic of the PhD position sits at the crossroads of quantum computing, machine learning, and combinatorial optimization — an area where some of the most exciting and
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Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field. Exceptional BSc candidates with strong engineering experience will also be considered. Experience in AI and neural
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and associated environmental impacts. Contribute to short-term (2026 to 2030) and long-term (2030 to 2050) verticalisation forecasting models based on machine learning, and to their validation against
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-particle analysis Semiconductor nanocrystals, quantum dots, or other nanoscale materials Machine learning Scientific programming and quantitative data analysis Prior experience with every technique used in
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sustainable and climate-neutral university You can expect numerous benefits , such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare and attractive
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be advantageous. Experience in medical imaging, computed tomography, image analysis, or morphometric analysis. Experience with machine learning, statistical modelling, parameter estimation, model
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outcomes Working with multimodal embedding models and machine learning methods for content performance prediction Presenting results at international conferences and to partner organisations Contributing
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circuits to computer networks, from wireless communications to signal processing, and from control theory to electric energy. It offers a highly interdisciplinary research environment with strong expertise