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25.08.2025, Wissenschaftliches Personal The Chair of Architectural Informatics at the Technical University of Munich is looking for a research associate (m/w/d) for the research in the frame
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of the next generation of multiple-criticality control architectures will allow almost unlimited off-board computational power to be used to optimise operational decision-making in near to real-time
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-tier venues (e.g., ICSE, ASE, TOSEM, AAAI, EMSE), with at least 10+ publications, including multiple CORE A/A* papers. Demonstrated expertise in deep learning architectures, computer vision, and medical
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | about 4 hours ago
arithmetic cores for FPGAs). The team hosts 6 faculty, 6 PhD students, 3 postdocs, 2 engineer, and multiple research interns. Additional information can be found on team website: https://team.inria.fr/emeraude
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The person recruited will carry out a doctoral thesis under the
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(usually PhD). The Chair of Adaptive Dynamic Systems conducts research in the fields of reconfigurable computing, domain-specific multi- and manycore architectures, networks-on-chip (NoCs), methods and
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computing, domain-specific multi- and manycore architectures, networks-on-chip (NoCs), methods and algorithms for application parallelization, simulators and virtual platforms for application- and
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for long-term roadmap development. Job Requirements: MSc or PhD in Electrical Engineering, Electronics Engineering, AI, Chip Design, Computer Science, Cybersecurity, or a related field Proven experience with
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, spanning domains from automotive and avionics to healthcare, increasingly rely on distributed and multi-layered control architectures. These systems comprise interconnected computing nodes, actuators and
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to non-technical stakeholders. Specific Requirements Essential Criteria A PhD in Computer Science or a closely related discipline, in a topic directly relevant to video and/or AI. At least 8 years directly