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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 20 hours ago
data compression in physics simulations (communication/computation time/cost, quality of the solution...). The benchmark will be realized with benchopt [3] and will benefit from the distributed coding
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, compression, learning, and inference for classical and quantum data are available within the general study programme in Computer Science. The stipends are open for appointment from August 1, 2026, or soon as
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PhD Stipend/Integrated Stipend in representation, compression, learning, and inference for classical and quantum data. At the Technical Faculty of IT and Design, Department of Computer Science, one
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, and secondments at leading academic and industrial partners across Europe (Italy and Netherlands for this PhD offer). More information : https://cordis.europa.eu/project/id/101227338 •Master’s degree
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architectures of digital circuits, FPGA would be a plus - Knowledge in coding and compression of information, or signal processing - Experience with manipulation and customization of AI training flows
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encompasses model compression and optimization for edge deployment on UAV-mounted processors to support real-time inference. The candidate will collaborate with industrial partners for real-world data
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on developing the next generation of approaches for analyzing spatiotemporal data arising from sports matches (e.g., tactcal analyses, player/team evaluation, …). See https://dtai.cs.kuleuven.be/sports 4) 1-2
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learning, for example via data selection and filtering (leveraging that not all data is equally informative). You will also investigate complementary approaches that reduce inference and deployment costs
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challenge: how to evolve classical communication networks to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk). CLASSIQUE will address a
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6 Mar 2026 Job Information Organisation/Company Linköping University Research Field Computer science Researcher Profile First Stage Researcher (R1) Application Deadline 24 Apr 2026 - 12:00 (UTC