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Field
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experience in extending or enhancing the capability of digital design tools. Experience in algorithm development and/or workflow automation for digital design processes. A proven track record of using relevant
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Are you interested in developing interpretable AI models for the next generation of green syntheses? Do you have experience in AI/Machine Learning, or computational modelling of organic reactions
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-generation supercomputing platforms. As part of this role, you will develop new mixed-precision algorithms, analyse their behaviour, and implement them on the accelerator-based architectures that power
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that are relevant to industry demands while working on research projects in SIT. The Future Ship and System Design (FSSD) programme aims to develop strategic and innovative design capabilities for the maritime
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research, contributing to the project’s technical development and scientific outputs. You will be responsible for preparing your research for publication, producing clear project reports, and helping
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characterisation and heat-transfer measurements, and development of model-predictive control algorithms for dynamic charge–discharge operation. The postholder will support prototype fabrication, instrumentation
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successful candidate will primarily work on the development and enhancement of the OASIS model, contributing to new physical parameterisations, numerical algorithms, and/or performance optimisation. They will
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and simulation, optimisation, development and laboratory testing of future aircraft electric propulsion drive systems. Candidates should hold or be shortly due to obtain a PhD in Electrical and
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. This role will contribute the development of novel machine learning algorithms for wireless sensing and communication and the proof of concepts for next-generation wireless communication, collaborating with
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work with hands-on offloading algorithm design and development for IoT networks. The core responsibility is to build and validate edge-assisted offloading strategies, complete with software APIs, through