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rooms in the Nordic countries are located in the Micro- and nanotechnology centre Micronova. Doctoral Researcher in Hardware-Aware AI for Analog and RF Circuits. We are now looking for a Doctoral
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architectures, neuromorphic computing, hardware security, and energy-efficient computer systems. The candidate will become part of the QuNeCo project, an ambitious collaboration between universities in
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at different timescales, exploring trade-offs between different design choices, quantizing the models, and implementing the best-performing ones in custom digital hardware, on FPGA and/or in an application
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deploying the face de‑identification pipeline on resource‑constrained hardware, optimizing the underlying AI models based on latency, memory, and power constraints, and building demonstrators that showcase
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Physical Layer Security and Hardware Demonstrator Development Physical-layer security is becoming increasingly important for protecting next-generation wireless networks against eavesdropping, spoofing
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assisted ISAC framework available at the TUM ACES Lab. ▪ Conducting real world experiments to analyze performance deviations between theoretical models, software simulations, and hardware behavior. ▪ Working
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amplification hardware, which becomes increasingly difficult to scale as the number of qubits grows.
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The Cognitive Science & Artificial Intelligence Research Center at Tilburg University hosts the Secure Hardware Intelligence Extraction and Logic Deconstruction (SHIELD) research project, a
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strategy. The research will involve power system and IBR modelling, protection algorithm development, laboratory prototyping, and validation through real-time simulation and hardware-in-the-loop testing
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constraints into the theoretical analysis. Provide design guidelines for future experimental implementations of quantum repeater networks, specifying hardware requirements and performance benchmarks. Contribute