Mathematical Institute, Andrew Wiles Building, Radcliffe Observatory Quarter, Woodstock Road, Oxford.
We invite applications for a Postdoctoral Research Associate to work on an exciting new project to address significant mathematical and engineering challenges arising from multidimensional big data.
The position will be based at the Mathematical Institute, and form a key part of a substantial new Centre for Intelligent Multidimensional Data Analysis (CIMDA) funded by the Hong Kong Innovation and Technology Commission. It is available full time for 12 months and may start immediately.
Responsibilities
The successful candidate will work with leading researchers in stochastic analysis and data science at Oxford as part of a larger, multidisciplinary team. They will manage and conduct their own academic research and administrative activities, write up their results for publication, and participate fully in the activities of the research community at Oxford. Potential research directions include scalable optimization algorithm development and analysis; stochastic processes and rough paths; reduced precision and parallel‑in‑time computations; high‑dimensional matrices and tensors and their decompositions; hypergraph models; learning of non‑Euclidean data; and sparse deep neural networks.
Qualifications
- Applicants will have, or be close to completing, a PhD in mathematics or a related discipline, and possess sufficient specialist knowledge and research experience in one or more of the areas of data science, machine learning, numerical analysis, optimization, scientific computing and their applications, to work within established research programmes.
- They will have excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings.
