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PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
: Model development: + Characterizing the key performance differences between current and future aircraft models + Evaluating how these differences affect fleet assignment and network planning + Optimizing
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simulations, and design your own PRIMA observational programmes. The project will also make use of current world-leading facilities including JWST, Euclid, ALMA, Herschel, and SCUBA-2. By combining these with
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candidates chosen due to its high melting point, good thermal conductivity and low erosion rate. However, transitioning to the long-term timescales and high reliability required for commercial fusion means
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Application deadline: 19/07/2026 This 3.5 year PhD is funded by the Department of Mechanical and Aerospace Engineering and is available to UK-based students. The successful candidate will receive
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proposed dissertation topic, current curriculum vita, letter of recommendation; Masters (MA) candidates provide prospectus describing proposed thesis topic. Preference will be given to students who show
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on technology in hotel operations. You are an entrepreneur within our organization: someone who spots opportunities, takes initiative, experiments responsibly, and turns innovative ideas into concrete educational
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, addressing engineering questions in how future electricity networks can remain stable and resilient as renewable generation grows. Grid-forming (GFM) control is increasingly recognised as a critical enabling
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, and Export control (legislation that regulates the export of knowledge, technology and services). Candidates who, after assessment of the application and attachments, are considered to bein conflict
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researchers to work on the nitrogen behaviour in electric arc furnace (EAF) steelmaking project, as part of the ADAPT-EAF (Accelerating the Development of Automotive and Packaging steel Technology for EAF
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are poorly understood and not accounted for in current-generation hydrological models. The PhD research project will address these issues for more reliable hydrological predictions with a focus on the