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candidate will be encouraged to develop and pursue their own approaches to research. Applicants should have/or be close to obtaining a PhD in algebra, geometry or statistics, have an interest in applied
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supportive environment, known for its strength in both pure and applied mathematics, and its commitment to interdisciplinary collaboration. With its established reputation in mathematical physics
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remote and regular on-campus working. Your skills and attributes for success: An excellent research project A PhD or equivalent in history, history of science, mathematics, or any discipline relevant for
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base, the partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry scientists. Within the partnership, small research teams will
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discipline of mathematics in research and teaching, without making an arbitrary separation into pure and applied fields. We are looking for an open, innovative, and productive colleague who enjoys working in
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extended.) Person Specification Essential Criteria: Qualifications A good first degree in Mathematics, Physics or a related subject. A PhD (or be close to submission) in Applied Mathematics, Solar Physics
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Engineering, Mathematics, Statistics, Computer Science or conjugate subject; strong record of publication in the relevant literature; good knowledge of machine learning algorithms and/or statistical methods
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at the intersection of these research areas. You should hold, or be close to completing, a PhD/DPhil in mathematics, statistics, physics, engineering, data science, or a related field. Experience in cancer
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at the intersection of these research areas. You should hold, or be close to completing, a PhD/DPhil in mathematics, statistics, physics, engineering, data science, or a related field. Experience in cancer
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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research