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-supported and performance-driven design methods in architecture, available from 1st of March 2025 or as soon as possible thereafter. Your work tasks The PhD stipend is financed by Aalborg University as part
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architectures in a unique PhD program with NVIDIA partnership. The program is 36 months long and it includes enrollment in a PhD program at one of our partner Universities. NVIDIA is widely considered to be one
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computing architectures. The project explores hybrid CMOS–spintronic computing systems, leveraging emerging spin-based devices such as magnetic tunnel junctions (MTJs) to enable ultra-low-power, non-volatile
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for AI systems Verification, validation, and benchmarking of hardware accelerators What we expect A PhD (or equivalent) in Electrical Engineering, Computer Engineering, or a closely related field A
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non-von-Neumann computing architectures. The project explores hybrid CMOS–spintronic computing systems, leveraging emerging spin-based devices such as magnetic tunnel junctions (MTJs) to enable ultra
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qualifications You will lead the computational and AI-driven aspects of the project. Your responsibilities will include: Designing and implementing state-of-the-art deep learning architectures for protein