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a background in structural engineering, signal processing, data science, computer vision, or related fields to support our ongoing SwissBWIM project. The project combines bridge structural monitoring
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point cloud processing, as well as in probabilistic modelling and Bayesian inference Very good programming skills, preferably in Python Familiarity with digital twins, building information modelling (BIM
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, Medical Informatics, Medical Robotics, Natural Language Processing, Neuroinformatics, Optimization, Physical AI, Probabilistic Models, Reinforcement Learning, Robotics, Security and Privacy, Smart
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-related trade studies covering processing capacity, memory, timing, bandwidth, autonomy, reliability, and fault tolerance. Develop real-time, event-driven, autonomous, synchronization, and GNC
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in the quantum domain using trapped ions focussing on quantum information processing, quantum metrology, and fundamental questions in quantum physics. Our research is driven by a combination of
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shared Geo-Intelligence Platform, including data access, processing pipelines, model-training environments, deployment capabilities and integration with HPC and cloud infrastructure Coordinate with CSCS
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++ or similar Experience with data processing and model interpretation Ability to work independently and collaboratively in an international research environment Good written and spoken English Hands-on
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processing Very good programming skills (C, Matlab/Python, TensorFlow/PyTorch) and a passion for both theoretical and practical work are a premise The ability to develop own lines of thought, to
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highly beneficial Experience in one or more of the following areas is advantageous: Micro- and nanofabrication, lithography, etching, thin-film processing, or cleanroom work Integrated photonics
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processing is an asset Ability to work independently Strong written and oral communication skills in English Workplace Workplace We offer We are an enthusiastic and collaborative research group with many