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Qualification type: PhD Location: Essex Funding for: UK Students, EU Students, International Students Funding amount: All UKRI-funded PhD students (UK, EU, International) will be eligible for the
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Profile First Stage Researcher (R1) Positions PhD Positions Country United Kingdom Application Deadline 16 Nov 2025 - 23:59 (Europe/London) Type of Contract Temporary Job Status Full-time Is the job funded
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. Previous experience in computational modelling, air quality or psychology is desirable. The Research Project The overall aim of this PhD project is to understand how indoor air quality (IAQ) affects
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accelerators originally designed for artificial intelligence. These accelerators achieve exceptional performance by using low precision arithmetic, which is sufficient for machine learning tasks but much too
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fluctuate across tidal to seasonal timescales, as existing data consists primarily of isolated measurements. Understanding coastal Ca²⁺ and Mg²⁺ dynamics across ecological timescales is crucial for advancing
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-2425 UK only due to funding restrictions. This 3.5-year PhD studentship is open to Home (UK) applicants. The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£20,780 for
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and model inaccuracy. This role is dedicated to solving this problem, building an embedded plume-in-grid contrail model for use in an operational weather model - supporting technological solutions
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of this project is to study how entrepreneurial firms engage with IP strategy in the context of dynamic technological disruption and their ecosystems. A potential area for exploration is how innovative startups and
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loads in power system dynamics and stability as system strength continues to decline. Building on existing frameworks such as the WECC Composite Load Model (CLM), you will develop and validate data-driven
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closely with the engineering team at SSEN to translate your research to real-world impacts. As a Research Associate, you will investigate the evolving role of electrical loads in power system dynamics and