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recognised as a critical pathway for net-negative emissions but current systems are energy-intensive and inflexible. This project proposes a novel biomass-based negative emissions process using the reversible
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approach towards artificial intelligence that uses the natural dynamic behaviour of physical systems (such as light and electronics) to process information efficiently. You will work at the intersection
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. Please note that, due to funding restrictions, this studentship is only available to UK (home fees) citizens. Start date – 1 October 2026 Application Process Informal enquiries may be addressed to: Dr
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to £25,000 per year for 4 years. Please note that, due to funding restrictions, this studentship is only available to UK (home fees) citizens. Start date – 1 October 2026 Application Process Informal enquiries
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sustainable chemical and biocatalytic process development. Vision We are seeking a motivated PhD student to develop a strong experimental understanding of enzyme selectivity when processing mixed biomass
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electronics) to process information efficiently. You will work at the intersection of mathematics, physics, electrical engineering and AI, helping to develop a theory that explains how and why these systems
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engineering, structural, aerodynamic & manufacturing process modelling and optimisation techniques that will transform current design & development practices. Together we will make technological advances
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process: nottingham.ac.uk/ComputerScience/Studywithus/Postgraduateresearch/NottinghamDTCinAI.aspx Entry Requirements: Applicants are normally expected to hold a 2:1 Bachelor’s degree or Master’s degree
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, Mathematics, Robotics, or a related discipline. A strong interest in one or more of the following areas: AI and machine learning, computer vision, signal processing, sensing, robotics, or embedded systems
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Manufacturing Technology Research Group at Faculty of Engineering which conducts cutting edge research into sustainable high-value manufacturing processes. Vision We are looking for a PhD student who is motivated