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are expected to gain) a first-class honours degree or equivalent in a suitable field such as engineering, computer science, physics, or atmospheric science. Funding This studentship is for 3.5 years and will
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prediction. This project is a collaborative effort between the School of Computing & Mathematical Sciences (CMS) and the School of Engineering (SoE) to utilise expertise and facilities between two schools
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when the project commences. Applications are invited from candidates with (or who are expected to gain) a first-class honours degree or equivalent in a suitable field such as engineering, computer science
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to power engineering, mathematics, computing and energy economics. The successful candidate will have excellent understanding in the fields of power system operations and economics. Experience in data
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for postdoctoral roles must hold a PhD or equivalent qualification in biology, epidemiology, computing, behavioural science or closely related disciplines, and should have a strong track record in data science
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, or higher) degree in Mathematics, Computer Science, Statistics, Engineering, Physics, or related STEM areas. Scholarship: The studentship is for 3 years and will provide an annual tax-free stipend of £20,662
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machine learning to CFD-generated datasets. The ideal applicant is a fresh graduate in engineering or in a closely related discipline, with a track record of achievements at the top of their cohorts
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; Max Planck Institute for Human Cognitive and Brain Sciences | Bedford Park, England | United Kingdom | 1 day ago
in the fields of energy engineering, computational fluid dynamics, and multiphase fluid mechanics. You will join an enthusiastic, friendly, and supportive group of PhD students and postdocs who are all
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Civil Engineering or Computational Physics. They should demonstrate aptitude for original research. The candidate should possess a good understanding of construction processes and data processing
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methods could alleviate this limitation by leveraging large amounts of un-annotated datasets. These techniques remain however largely unexplored in the field of medical video analysis. The School of Science