We are looking for a Research Fellow to join the centre, driving its mission to advance knowledge and support the government, industry and academia in the area of AI system security testing and certification.
Key Responsibilities
To independently undertake research in AI system security testing and evaluation.
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Develop and deploy machine learning models to predict optimal voltage–frequency operating points during LLM training and inference.
Integrate predictive control algorithms with hardware platforms to enable real-time, adaptive power management across heterogeneous compute and memory subsystems.
Collaborate on system-level hardware–software co-design to realize energy-efficient AI acceleration.
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Design, deploy, and operate large-scale GPU-based compute environments, including optimizing network topologies like InfiniBand and Ethernet.
Lead server validation and bringing up complex systems, including lab validation, SI/PI (Signal Integrity/Power Integrity) analysis, and debugging.
Partner with software, datacenter engineering, mechanical and thermal, and vendor teams to ensure seamless hardware/software integration. Drive root cause analysis and corrective actions.
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Lead and shape corporate and Business Unit (BU) innovation programs, ensuring alignment with long-term strategic objectives.
Manage and expand an international innovation network, collaborating with external partners such as research institutions, suppliers, and ecosystem stakeholders.
Influence product development strategies through cross-functional engagement and technical leadership.
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