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in underground facilities. The project aims to evaluate sensor technologies, design and optimize multi-sensor monitoring networks, and develop advanced detection and localization algorithms adapted
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, design and optimize multi-sensor monitoring networks, and develop advanced detection and localization algorithms adapted to complex 3D underground geometries. The research will be conducted in close
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the ability to harness and optimize massive computational resources. However, this rapid growth in computational demands comes with a critical challenge: energy limitations. Around the globe, new power plants
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will have the opportunity to work with rich datasets from international pediatric cohorts spanning diverse geographic and socioeconomic contexts, including longitudinal multi-omics data from both local
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optimization is necessary for lower optical losses, increased component performance, and improved interfacing with optical fibers. The advertised position will work on two main projects: (1) TFLN circuit
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral Researcher on hybrid AI-optimization modelling The Energy Science Center (ESC) at
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of hybrid AI-optimization modelling. This position focuses on the design of AI-based surrogates of large-scale energy system models and will be integrated in the activities of the Nexus-e group with close
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, programming, and operation of DIW equipment Determination of optimal debinding and sintering steps Characterization of the sintered materials: density, microstructure, defects, shrinkage, possible distortions
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curious about emerging AI technologies Advantageous: Experience with Factor Graph Optimization, multi-sensor fusion methods, or AI/ML applications CH/EU/EFTA citizenship or a valid Swiss work permit
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of resolution Setup, programming, and operation of DIW equipment Determination of optimal debinding and sintering steps Characterization of the sintered materials: density, microstructure, defects, shrinkage