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Field
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to deeply understand how various AI algorithms work and how to implement them efficiently on a wide range of existing and upcoming hardware. Help us push the boundaries of AI compute, collaborating with
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This PhD opportunity at Cranfield University invites candidates to pioneer research in embedding AI into electronic hardware to enhance security and trustworthiness in safety-critical systems
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Northeastern University London Fully Funded PhD Scholarship in Computer Science Hardware-Software Co-Design for Efficient AI in IoT and Networked Systems Funded PhD Project (UK or International
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Data is more valuable than oil, so it has been said. Quantum computing offers new unusual datasets thereby presenting new opportunities for AI approaches. Quantum computing is raising the prospect
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algorithms that can tightly integrate physical hardware, sensors, and computational models. This PhD position is centered on addressing these challenges through innovative computational methods, combining
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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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and a construction and testing capability up to 5MW Vision This project aims to leverage the electric propulsion hardware developed in the EU-funded €40M NEWBORN – “NExt generation high poWer fuel cells
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This PhD opportunity at Cranfield University invites ambitious candidates to explore the frontier of energy-efficient intelligent systems by embedding AI into low-power, long-life hardware platforms
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2 Mar 2026 Job Information Organisation/Company NVIDIA Denmark Research Field Computer science Technology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline
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Data is more valuable than oil, so it has been said. Quantum computing offers new unusual datasets thereby presenting new opportunities for AI approaches. Quantum computing is raising the prospect