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Field
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computing? Then join QuBriC, a pan-European doctoral network on quantum error correction, as a PhD candidate at TU/e, designing next-generation codes and decoders for real quantum hardware. Information
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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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– the fascinating internal information session Naturalis Draait Door. Nice extras such as discounts on software and hardware for private use, collective health insurance plans, and a bicycle scheme. You’ll also enjoy
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responsible for: Conducting research on sustainable and resource-efficient AI systems for edge datacentres. Creating hardware-aware search spaces for CPUs, GPUs, and accelerators, and developing multi-objective
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sensing and AI processing. The focus lies in architecting a unified system capable of real-time image intelligence, overcoming the critical hardware bottlenecks of limited memory and power to enable
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hardware and software vulnerabilities and mitigations - Experience with RF and SDR technologies Requirements: BS degree in Computer Science or related quantitative discipline, with ten (10) years of relevant
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related field; Strong knowledge of cybersecurity and cryptography applied to the automotive field; Knowledge of embedded systems and hardware features relevant to cybersecurity; Knowledge of communication
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. Experimental Validation • Validation in real-time simulation. • Validation on HIL/PHIL (Hardware-in-the-Loop and Power-Hardware-in-the-Loop) platforms. • Performance evaluation on scenarios representative
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modern machine learning, statistical signal processing, or optimisation to turn heterogeneous knowledge (channel/network state, maps and topology, mobility, hardware constraints, and task-level KPIs
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involving Prof. Dr. Michael Bader (TUM CIT, Hardware-aware algorithms for HPC) , Prof. Dr. Felix Dietrich (TUM CIT, Physics-enhanced Machine Learning) , and Prof. Dr. Hartwig Anzt (TUM CIT, Computational