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Field
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portfolio of Elettra Sincrotrone Trieste. Job description The successful candidate will contribute to the design of algorithms, their performance evaluation, and cross-validation on experimental hardware and
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to serve teaching, research and innovation. As part of the ANR projects LEASARD and VORTEX, which aim to increase the navigation autonomy of drone fleets in complex environments via embedded AI and event
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particle trapping and related measurement techniques. Relevant skills include understanding of fundamental principles, design, optimization, computational electromagnetic, mechanical and thermal modeling
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embedded systems from vulnerabilities rooted in sensor physics, studying the impact of physical signals (e.g., acoustics, lasers, electromagnetic emissions) on AI and sensing systems, and innovating hardware
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, and system-level integration within a high-impact European research collaboration. Responsibilities Your overall focus will be to design, implement, and experimentally validate robotic manipulation and
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contribution towards IceCube-Gen2, with a particular focus on hardware and radio technology Responsibilities for the laboratory tasks towards IceCube-Gen2 and contribution to the project management in
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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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and engineering optical setups Experience with coherent control of quantum systems Competence in electronics design and hardware control Ability to acquire and process large datasets Enthusiasm
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, work-up, and analysis for late-stage process chemistry (10.26434/chemrxiv-2025-bsfvz). You will have the opportunity to design and build next-generation hardware modules that push the boundaries
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(LHCb) physics program at the Large Hadron Collider (LHC). This group is actively participating in the design and realization of various hardware projects in support of the LHCb and electron ion proton