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development of wide bandgap device-based integrated motor drives, advanced control techniques for next-generation drives, and innovative approaches to reducing passive components in electric drive systems. Your
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allowance of £21,805 (2026/27 UKRI rate), and a research training support grant of £20,000. Overview This PhD project is part of the CDT in Process Industries: Net Zero . Taylor–Couette technology exploits
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of the CDT in Process Industries: Net Zero . Taylor–Couette technology exploits the controlled vortices formed between concentric rotating cylinders to generate intense, well-defined shear and mixing
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for candidates passionate about sustainability, plant science, and nature-based engineering innovation. This PhD studentship is part of the Water Infrastructure & Resilience (WIRe) CDT funded by EPSRC and the
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urban green infrastructure, and shaping future design standards. Ideal for candidates passionate about sustainability, plant science, and nature-based engineering innovation. This PhD studentship is part
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(at least 5.5 in all sub-skills) or equivalent language qualification. International applicants may require an ATAS (Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa
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drives, advanced control techniques for next-generation drives, and innovative approaches to reducing passive components in electric drive systems. Your research will contribute to cutting-edge technology
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accountably. This is where you come in. Your mission Working at the intersection of privacy research and real-world engineering, you'll design and build a computational stewardship engine—an autonomous agent
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Systems: Here, you would combine advanced microcontrollers, power and data transmission systems to create a subcutaneous control unit for bionic vision. Bionic Vision Biophysics: Here, you will explore
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of international partners. Research will be done in the cooperation with Literal Labs, a NU spin-off from the School of Engineering that is working on logic-based ML models and with National Edge AI Hub. Number