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has to develop and compare methods for different practical problems, a good compromise is given by the use of the class of convex optimization problems. In particular, this class is known to have good
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generalizing AI/ML models to enable joint optimization of different RAN functions within or across protocol layers, in some cases, considering the timeframe of the specific RAN operations in the control loop and
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, specifically methods that combine machine learning and optimization with physics-based simulation and/or physical constraints and translate these methods into impactful industrial applications. The position is
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Multiple PhD positions in magnetism and spintronics are available within the Quantum Grenoble Doctoral Programme (3 different funding schemes). The call is open from 26 January till 16 March 2026
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of Cologne (6 months), and at the optimization software company MOSEK (1 month) in Copenhagen. At the University of Cologne, the secondment will be supervised by Professor Frank Vallentin. The CentER graduate
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Land Take. The consortium comprises four complementary PhD projects addressing different methodological and thematic aspects of urban energy systems. The successful candidate will be based at Empa
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two companies. The project has partners from eight different EU countries. All 15 PhD projects are within the overall theme of neuromorphic computing and analog signal processing, targeting applications
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is optimally placed to improve the overall defence performance of a distributed counter-drone capability. The use of a multistatic radar network can potentially provide a significant improvement in
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the consequence of selection and the best strategy for recording traits and optimizing selection decisions. For example, breeders must carefully assess risks and the trade-offs of selection for different traits
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-ready control of electromagnetic waves. Unlike current solutions—which are energy-intensive, complex, and costly—MetaTune proposes unified tuning mechanisms, innovative materials, and cost‑effective