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Field
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for up to 24 months. Successful applicants should be in post by September 2026. About you Applicants will need a PhD degree in Mathematics or similar subject, and knowledge of probability theory, as
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candidate will hold a PhD in Mathematics or a closely related discipline, with a strong background in edge decomposition of graphs or fractional structures in graphs. You will have the ability to solve
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Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research
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following fields: Cognitive Science, Psychology, Computer Science, Mathematics or Philosophy PhD Degree We are particularly interested in candidates with demonstrated abilities to conduct interdisciplinary
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the strict sense or in interdisciplinary fields. The ideal candidate has the potential to obtain and successfully execute an ERC or equivalent grant. A PhD in mathematics is required. The position carries
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Professor Azra Ghani at a.ghani@nus.edu.sg. Qualifications • A PhD in infectious disease epidemiology, mathematical modelling, statistics or related subject or a similar quantitative discipline • Experience
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qualification in mathematics should be finalising their PhD or waiting for their viva date. Please note: Appointment at Grade 7 is dependent on award and confirmation of a PhD (or equivalent). If this is not
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record in any one of the mentioned fields will be considered very seriously for these positions. Requirements The candidate must have a PhD degree in mathematics or theoretical physics. The candidate must
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applications to both external and/or internal bodies for funding, contractual or accreditation purposes. We are looking for a confident, organised researcher who can evidence: A PhD, or equivalent in mathematics
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, theoretical analysis etc.), running experiments, and writing articles for publication in tier-1 journals and ML conferences. Job Requirements: PhD in Mathematics/Computer Science/Statistics or related fields