28 computational-physics-"https:"-"https:"-"https:"-"https:" PhD positions at University of Nottingham
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complex physical systems to perform tasks such as prediction, classification, and signal processing. However, one major challenge remains: We still do not fully understand what makes a reservoir computing
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PhD Studentship NEt2Zero Advanced Microwave Technology Development for Activated Carbon Reactivation
Programme Length: Four Years Study Mode: Full-time Location: Nottingham Start Date: December 2026 Project Overview Activated carbon is widely used in water and air treatment applications to remove
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PhD Studentship NEt2Zero Advanced Microwave Technology Development for Activated Carbon Reactivation
-Nottingham Alliance . [email protected] Administrative queries For enquiries relating to eligibility, the application process, funding, or the Net2Zero CDT programme, please contact: Net2Zero CDT
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of blades to discs using solid-state joining is a key factor in achieving cost-effective, high performance and low-weight fan and compressor stages in aero-engines. LFW is an established joining process
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of blades to discs using solid-state joining is a key factor in achieving cost-effective, high performance and low-weight fan and compressor stages in aero-engines. LFW is an established joining process
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of blades to discs using solid-state joining is a key factor in achieving cost-effective, high performance and low-weight fan and compressor stages in aero-engines. LFW is an established joining process
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Electric motors and the systems they drive consume half of global electricity. These systems are typically very inefficient and contribute to a significant amount of energy wasted. By physically
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Electric motors and the systems they drive consume half of global electricity. These systems are typically very inefficient and contribute to a significant amount of energy wasted. By physically
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for candidates with A master’s degree (e.g. MSc, MEng, MPhys, MRes or equivalent) in a relevant engineering or physical sciences discipline, such as electrical/electronic engineering, general engineering
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a mixture of computational, analytical and machine learning approaches to model the heat transfer to fuels and their physical and chemical behaviour, including changes in chemistry and physical