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to cyber attacks that can cause physical damage. AI:HARDWARE uses AI to protect this infrastructure and to design hardware that is secure by design. The lab also develops AI that runs efficiently on small
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Organ Pathology and Therapeutics Institute (https://optin.pitt.edu ) offer many collaborative research opportunities. The Center for Medical Innovation (https://www.engineering.pitt.edu/CMI ), the Coulter
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. The successful candidate will design original solutions for the integration of inference models in heterogeneous programmable user planes composed of a combination of programmable switches, network processing
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reliability through systematic validation methods. CAVECORE combines cutting-edge research in AI-enabled robotics with novel evaluation frameworks aligned with EU AI Act requirements. More information: https
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large-scale spiking neural networks. In close collaboration with our Mod4Comp partners (DFG Forschergruppe FOR 5880), you will develop models of performance and energy to guide the co-design of software
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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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power electronic design, modelling and simulation tools, and hardware development Knowledge of digital control implementation, testing, and characterization of power electronic components is expected
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22 Mar 2026 Job Information Organisation/Company Aalborg Universitet Department The Technical Faculty of IT and Design, Department of Computer Science, Section for Human Centered Computing Research
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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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-level layer implementations - extend hardware developments to use near-FPGA DDR and HBM memories - create functional demos using networks of interest (Yolo, Resnets, LLMs, ...) - create proof-of-concept