If you would like to solve real-life problems using statistics and operational research to have positive impact on business, the economy or society, then consider applying to the STOR-i Centre for Doctoral Training to start in October 2027.

 

Joining STOR-i will enable you to:

The Department of Economics is holding an online information and Q&A session for current Oxford students who may be considering postgraduate study in Economics. The webinar will take place on Wednesday 18 November, 5:00–6:00pm and will be hosted by Professor Alan Beggs, MPhil Director, and Dr Sanjay Jain, Director of Graduate Studies.

 

The session will cover:

Join us for our annual Postgraduate Open Day and find out all about postgraduate study. The open day will take place in person in the department, and sessions will also be available live online.

Wednesday 11 November 2026
24-29 St Giles’, Oxford OX1 3LB

In 1963 soon-to-be Prime Minister Harold Wilson gave one of the most iconic speeches in UK politics. The future would be forged in the 'white heat of technology'. It still resonates.

But for one attendee, might it not have been better titled 'the white heat of mathematics'?

We are currently inviting applications for a Postdoctoral Research Associate to work with Professors Mezei, Schafer-Nameki, and Sparks at the Mathematical Institute, University of Oxford. These are three-year, fixed-term positions, funded by three different research grants from the ERC, UKRI, and STFC. The successful candidate will be expected to be in post by 1 October 2027.  

Learning to Program Dimple-Encoded Strips for Morphing Architectures
Zhang, Q Vella, D Liu, M Advanced Materials
Wed, 11 Nov 2026

11:00 - 13:00
L4

Sharp Rates of Convergence to Singular SPDEs

Rhys Steele
(Max Planck Institute for Mathematics in the Sciences)
Abstract

For subcritical singular SPDEs, solutions are typically exhibited as the limit of solutions of regularised and renormalised PDEs as the regularisation scale goes to 0. Existing general solution theories typically yield a very small exponent for the rate of convergence. This suggests the question of identifying the sharpest possible rate of convergence that can be achieved in some space of distributions. 

In this talk, I will discuss recent work with Máté Gerencsér and Yueh-Sheng Hsu in which we identify the sharp rate of convergence in the case of the KPZ equation.

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