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. The project aims to investigate generative design algorithms to automate the design process of electromagnetic induction components by using AM technologies and combine it with advanced computational tools. A
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, Matlab, C++) for developing new simulation frameworks or image processing algorithms Experience in or willingness to learn independently operating additive manufacturing systems (DED and LPBF), including
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on developing systems that integrate technological innovations, scientific principles, advanced mathematics, algorithms, and design in groundbreaking ways, particularly on advanced motion control. Key testbeds
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AI-driven solutions. The selected candidate will play a key role in designing and implementing cutting-edge algorithms to enhance both the speed and accuracy of EGamma reconstruction, ensuring seamless
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well as the driving mechanisms. A large foundational dataset has already been collected, and presents a unique opportunity for making new insights into landslide processes. You will develop advanced algorithms
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making new insights into landslide processes. You will develop advanced algorithms to process this data, with a focus on optical flow and object detection. You will interpret the results to better
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synthetic aperture radar (SAR) remote sensing starting in spring 2025. Job description You will join an innovative, highly motivated international research team to investigate advanced SAR imaging algorithms
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to cutting-edge tools, algorithms, and large, high-quality seismic datasets. Occasional fieldwork to acquire data from temporary networks, providing you with hands-on experience in the field. A competitive
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/ reference gas analysis and a software algorithm for data treatment. Collaborate with leading AMS laboratories to ensure comparability of on-line measurements with established low-frequency monitoring
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beam-material interactions Good programming skills (e.g. Python, Matlab, C++) for developing new simulation frameworks or image processing algorithms Experience in or willingness to learn independently