495 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "https:" "UNIV" positions at University of Sheffield
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at l.pasquinalemonche@sheffield.ac.uk Next steps in the recruitment process It is anticipated that the selection process will take place in the weeks following the closing date. We plan to let candidates know
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Next Generation Photonic Integrated Circuit Chips for Quantum Technology (C3.5-MPS-Faruque)
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process It is anticipated that the selection process will take place the week of 19th January. This will consist of an interview with members of the team. We plan to let candidates know if they have
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meetings Compile and post on the University’s website information needed to maintain, update and develop the University’s online News pages. Time Management - Plan, organise and prioritise your workload
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Model Based Design and Flight Testing of a Vertical Take-Off Vertical Landing Rocket (C3.5-MAC-John)
guidance algorithms [1] for the hopper. These algorithms will run in real-time on a high-performance, secondary flight computer. One of the project’s novel contributions lies in the creation of a fully
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AI4Ed: Multi-Agent Systems for Collaborative Human–AI Writing and Feedback (S3.5-COM-Yuan) School of Computer Science PhD Research Project Competition Funded Students Worldwide Dr Zheng Yuan, Dr
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Using Generative AI to create design fictions for responsible technology innovation (C3.5-COM-Law) School of Computer Science PhD Research Project Competition Funded Students Worldwide Dr James Law
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steps in the recruitment process It is anticipated that the selection process will consist of an interview. We plan to let candidates know if they have progressed to the selection stage within 2 weeks
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take place three weeks following the closing date. This will consist of an interview which will include a research presentation. We plan to let candidates know if they have progressed to the selection stage
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Bridging Causality and Forecasting in Space Weather: A Transparent Complex Systems Modelling and Interpretable Machine Learning Framework