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research spanning detector simulation, Spiking Neural Network (SNN) design, neuromorphic hardware, and data-rich experimental systems such as CMS pixel detectors, Timepix4, and novel photodetector
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activities. We also have access to real quantum hardware, including VTT’s Q50 and Helmi machines and Aalto’s Q20, all located right downstairs from our offices. In addition, access to other leading commercial
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supports the research on energy security and resilience of the power grid at the Energy Department (DOE) through advancement of modeling, simulation, and real-time monitoring of the power grid, including
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have: Solid experience in programming and deploying robotic systems, including real hardware Strong background in robotic manipulation and/or mobile manipulation Experience with mining robotic system
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to develop efficiently, this requires competencies in optical and quantum physics, experience in development of experimental control hardware, and perseverance and ingenuity. The positions are part of
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enable seamless human–machine interaction by interpreting brain activity (e.g., EEG signals) in real time using energy-efficient neuromorphic hardware. The successful candidate will work on the design and
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, and anomaly detection. Build simulation pipelines and, where applicable, hardware-in-the-loop or lab prototypes; manage datasets and reproducible code. Academic Writing Lead and co-author journal and
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; computer software/hardware; presentation software; microscopes. Physical Demands and Work Environment PHYSICAL DEMANDS: Standing, sitting, walking, talking, and hearing. No special vision requirements
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About us The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Interdisciplinary Centre for Security, Reliability
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contributions to experiments at Fermilab (SeaQuest, SpinQuest) and PSI (MUSE) Detector hardware leadership, including the ALERT time-of-flight detector, the ePIC Barrel Imaging Calorimeter, and the SoLID detector