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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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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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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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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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-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
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-world energy applications, the project aims to better capture the dynamics of urban infrastructures across different spatial and temporal scales, from building-level energy demand to district-scale
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* for combinatorial solving; some details can be found below. The field of combinatorial optimization is concerned with developing generic tools that take a declarative problem description and automatically compute
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, international group of 13 researchers from 8 countries, with expertise across energy systems and markets, optimization, control, game theory, and machine learning. Interdisciplinary by design: Work at the