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. The successful candidate for this PhD position will be involved in the experimental and theoretical development of a new technology called Surface Nanoscale Axial Photonics (SNAP), which will enable
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$116,094 (PhD Enty Level - $108,156) p.a. plus 17% super Innovative suicide prevention research / Leverage digital mental health solutions / Support carers of at-risk youth Apply now to join a cutting-edge
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to understand behaviour through the lens of digital footprint/“smart data” datasets, cutting across sectors ranging through health, retail, mobility, energy and communications. Using GI infections as a case study
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of innovative computational methods using Big Data, Behavioural Science and Machine Learning to understand behaviour through the lens of digital footprint/“smart data” datasets, cutting across sectors ranging
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digital health systems. The project’s emphasis on explainability, traceability, and system integrity positions graduates as key contributors to the future of responsible AI deployment.
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This PhD opportunity at Cranfield University explores how next-generation AI models can be embedded within resource-constrained electronic systems to enable intelligent, real-time performance
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This self-funded PhD research project aims to advance the emerging research topics on physics-informed machine learning techniques with the targeted application on predictive maintenance (PdM
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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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’ opportunities and agency, using qualitative and creative methods (e.g. “Theatre of the Oppressed” or others). Please note - this position includes full funding for PhD tuition fees (UK rate) for a duration of
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to funding restrictions this PhD position is only available to UK nationals. As this position is sponsored by the MTC, any successful candidate would need to pass the sponsors own security checks prior