PhD Opportunity in Randomised Numerical Linear Algebra

We welcome applications for a four-year D.Phil in Mathematics at the University of Oxford on the topic of Reliable and efficient sketching algorithms for randomized Principal Component Analysis. The work will be broadly in randomised linear algebra, developing algorithms, theory, implementation and applications. The research project will be supervised by Professor Yuji Nakatsukasa (Oxford University) and Dr Hussam Al Daas (Rutherford Appleton Laboratory, STFC). The successful candidate will have the opportunity to be hosted by both the Numerical Analysis group at the Mathematical Institute (Oxford University) and the Computational Mathematics Group (Rutherford Appleton Laboratory, STFC).

The PhD studentship is open to all applicants, irrespective of nationality/residence, and the start date is 01 October 2023. The successful candidate will be based in the Mathematical Institute at the University of Oxford. The PhD position is fully-funded for four years, including a stipend and university fees.

APPLICATIONS SHOULD BE MADE ONLINE TO THE MATHEMATICAL INSTITUTE at https://evision.ox.ac.uk/urd/sits.urd/run/siw_ipp_lgn.login?process=siw_ipp_app_crs and should include a CV, cover letter (1 page), 2-3 reference letters, and transcript(s) of all previous degrees. In the section of the application form “Departmental Studentship Applications” applicants will be asked whether they are applying for an advertised studentship. In this section please state “Yes” followed by “23MATH01WEB”.

Applications are now open and must arrive by noon on 1 March, 2023.

For further information please contact @email.