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Experience in sustainable architecture or building physics A strong interest in retrofit research Confidence in using quantitative methods, including environmental monitoring and performance evaluation
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and conduct laboratory experiments to assess graphite smoulderability, develop physics-based models to predict scalability, and perform techno‑economic analyses and life‑cycle assessments using machine
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/chemical/physics/chemistry, or any related discipline. This is an experimental research project, and the candidate is expected to spend the majority of the time at the University of Nottingham. Funding
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several benefits, including thermal conductivity, electrical insulating and creating the necessary structural integrity needed around the battery. However, this process can be slow, induces an element of
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into the sample of interest. Recently we have been using AI and machine learning to predict the distortion present and significantly speed up this correction process. This PhD project will take the latest in AI
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Requirements and further details: This 4 year fully funded studentship is open to applicants with a first-class or upper second-class degree (or equivalent) in Electrical Engineering, Physics, Data Analytics
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letter of "Confirmation of funding" must be attached/uploaded during the application process. Candidates should supply a brief research proposal of 2-4 pages. This should include a brief literature review
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the PhD studies in the Faculty of Humanities in the academic session 2022-23. Funding provider Engineering and Physical Sciences Research Council Level(s) of study This funding is available to students
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this, empirical rules have been developed. However, a fundamental understanding of the process is still lacking. Furthermore, current standard tests do not adequately capture the phenomena, and thus industry is
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with global significance. Interdisciplinary Training – Students gain expertise across physics, engineering, computer science, and applied mathematics, developing versatile skills that open doors to both