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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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24.04.2026, Academic staff At the Chair of Space Mobility and Propulsion at TU Munich, we focus on innovations in propulsion hardware and software to advance sustainable and autonomous mobility
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robotics, AI, and validation methods International secondments at top-tier academic institutions Access to real-world intralogistics systems and state-of-the-art hardware/software platforms Collaboration
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infrastructures and cyber-physical systems (CPS) face increasing risks from cyberattacks that exploit vulnerabilities in digital communication networks, embedded hardware, and software. In response
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, as a doctoral researcher, will: Explore energy–delay efficient unconventional computing architectures through both simulation and experimental prototyping Perform iterative hardware–algorithm co-design
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: Investigate and design optimal computing and communication architectures for hardware acceleration of large-scale machine learning workloads Perform characterization and modeling of electronic and optical
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on massively parallel hardware architectures Combination of programmable logic, tensor processors and general-purpose CPUs for real-time adaption and scheduling services (e.g., AMD Versal platform
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transfer Interesting and multifaceted projects right at the interface between academic and industrial research Excellent hardware and software infrastructure A highly enthusiastic international team
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and hardware for future neuromorphic systems. You will also gain profound experience in research-software engineering by actively participating in the developer community of the leading simulation code
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that multi-billion parameter models run on hardware hospitals can actually afford Your Profile - Completed university degree (Master or equivalent) in computer science, mathematics, physics, medical