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An exciting opportunity has arisen to join our newly expanded Academic Registry team as a Programme Operations Officer. The Programme Operations team play an important role in ensuring the effective
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operational, focused on ensuring programme activities run smoothly, logistics are well coordinated, data and evidence are captured accurately, and participants receive high‑quality support throughout
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supervisors: formulating and delivering the researcher development strategy, including the Graduate School Training programme for all PGR students. This is a key role, as the postholder supports all teams
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supervisors: formulating and delivering the researcher development strategy, including the Graduate School Training programme for all PGR students. This is a key role, as the postholder supports all teams
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Tiny Machine Learning (TinyML). The role will focus on the design and development of battery‑less, ultra‑low‑power IoT systems capable of executing secure TinyML‑based visual perception algorithms
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(Employer of Record), CoR (Contractor of Record), blockchain, and payment processing while focusing innovation efforts on algorithmic demand generation and direct end-user acquisition. This KTP will directly
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role include: Essential Master’s degree (minimum) in Computer Science, Data Science, Computer Vision, Visual Media Engineering, or related subject focused on AI and Machine Learning Proficient in AI/deep
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innovative membrane module design, water purification and/or artificial intelligence-driven approaches for urban water management. However, the research programme can, in part, be tailored to prior expertise
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Postdoctoral Research Associate who will primarily contribute to the project. The successful applicant will be ideally educated to PhD level in Computer Science, Artificial Intelligence, Software Engineering
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research thrusts within Wu laboratory’s overall programme. We are looking for a researcher with a PhD in engineering, or a related physical science discipline who has prior experience and possess a deep