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Field
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/ Postdoctoral Researcher to join an 18-month NTU–industry project on AM-enabled optimisation of drag-reduction devices for maritime vessels. The successful candidate will design and prototype test articles
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hydrogen desorption driven by waste heat. The role includes the design and optimisation of thermal management systems, supporting the development of scalable and deployable hydrogen solutions. The research
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: • Knowledge of fluid dynamics, especially experimental methods in atomisation and sprays. • Programming experience (e.g. Python, MATLAB or similar). • Experience with data analysis, machine learning
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Advanced Systems-Modelling and Optimisation in Materials Science and Engineering School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Mahdi Mahfouf Application
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generation and advanced analytics to drive spatial systems biology research. Your tasks include but are not limited to: Organize and support technical running, optimisation and quality assurance of advanced
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opportunities, proposing corrective or optimisation actions. Duties Your tasks and responsibilities will include: Collection and consolidation of flight data from Vega C missions, enabling identification of key
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developed prototype brain signal analysis tool written in Python and MATLAB into a robust, user-friendly, and deployable software application using C++/Java that can be used by external users such as
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stabilising structures iv. AI-enabled structural analysis, optimisation and design tools for high-efficiency, low-carbon composite building systems Plan and conduct experimental work, including but not limited
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topologies and experimentally characterise their magnetic, mechanical and thermal performance. The optimised design for manufacturing workflow will be demonstrated on application-relevant prototypes
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aluminium windings in specific high-performance applications, the PhD work will be focused on developing novel motor topologies featuring CNT windings, including designing and testing of optimised prototypes