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Data-driven predictions of dynamical systems are used in many applications, ranging from the design of products and materials to weather and climate predictions. Mathematical concepts from geometry
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a relevant subject (computer science, mathematics, or related subject) Proficiency in English (both oral and written) Python programming skills. Solid mathematical background is desirable. Studentship
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undergraduate degree (or the international equivalents) in engineering, computer science or mathematics and statistics, we would like to hear from you. If your first language is not English, or you require a
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enhancing security measures within smart homes, including real-time monitoring and threat detection, while ensuring the privacy of residents. Applicants should have a good mathematical background, excellent
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capabilities to match the real outcome as closely as possible. Entry Requirements Acceptable first degree - Computer Science, Engineering, Physics or Mathematics. The standard minimum entry requirement is 2:1
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, Physical Sciences, Chemistry, Natural Science, Mathematics. Mode of study Full-time Start date 1 October 2026 Funding This PhD project is in a competition for a Faculty of Science funded studentship. Funding
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flows, and to have developed skills in experimental fluid mechanics, statistics, data processing, machine learning, and mathematical modelling. Supervisors: Dr Kostas Steiros Duration: 3.5 years. Funding
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to oceanography and climate research communities. PERSON SPECIFICATION This project is suited for a candidate with a background in natural sciences, engineering or mathematics, with good numerical and programming
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acceptable but a passion for the topic area is critical. Examples include: Mathematics, Statistics, Physics, Data Science, Physical Geography, Environmental/Biological Sciences, Economics, Finance, Engineering
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to how well they meet the following criteria: A first-class honours degree (or equivalent) in Engineering, Materials Science, Mathematics or Physics Excellent written and spoken communication skills in