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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 1 day 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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adequate technology transfer. The position will focus on aspects of data compression techniques that will enable end-to-end compressed operation, including analytics, queries and learning straight
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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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7 Mar 2026 Job Information Organisation/Company CNRS Department Laboratoire de Mécanique des Solides Research Field Engineering Physics » Acoustics Engineering » Materials engineering Researcher
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); - Experience with data balancing techniques; - Desirable basic knowledge of Multiple Input, Multiple Output (MIMO), Fluid Antenna System (FAS), and Compressive Sensing (CS); - PhD degree obtained within the last
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techniques; designing and analyzing multiterminal data compression and communication architectures for cooperative autonomous machines; designing semantic-aware compression & network information theory: derive
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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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this link for further information: https://www.sheffield.ac.uk/postgraduate/phd/apply/english-language. Please see this link for information on how to apply: https://sheffield.ac.uk/postgraduate/phd
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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