The Innovation and Leadership Programme (ILP) is a leadership initiative designed to empower the next generation of scientific leaders.

The programme is tailored for associate professors, lecturers, and senior postdocs in scientific fields at the University of Oxford, focusing on building expertise in innovation leadership, stakeholder management, team leadership, and communication.

Spatial correlations in susceptible-infected-susceptible processes on random regular graphs
Anonymous Physical Review E (14 May 2026)
Self-organized tiling generates tissue-scale hyperuniformity during development
Siegert, S Kanari, L Uçar, M (05 May 2026)

Congratulations to Paul Balister, Martin Bridson, Ben Green and James Maynard who have won Frontiers of Science awards 2026. The awards will be presented at the International Congress of Basic Science in Beijing, China in August.

Wed, 10 Jun 2026
11:00
L4

A short course on Rough Stochastic Differential Equations (RSDEs) and Applications (Lecture 3/3)

Prof. Peter Friz
(TU Berlin)
Abstract

Recent advances at the interface of stochastic analysis, rough path theory, stochastic filtering, stochastic control, and mean-field systems have led to a rapidly developing framework for analyzing stochastic dynamics conditioned on common/observation noise. This mini course  will survey how rough stochastic differential equations, introduced in 2021 by A. Hocquet, K. Lê and the speaker, lead to a unifying perspective across several areas of applied probability. (Additional coauthors include F. Bugini, J. Dause, W. Stannat, H. Zhang and P.Zorin-Kranich).

 

 

 

Further Information

This mini course will develop in three lectures on the Wednesdays 20/5, 3/6, 10/6 at 11am in L4

Wed, 03 Jun 2026
11:00
L4

A short course on Rough Stochastic Differential Equations (RSDEs) and Applications (Lecture 2/3)

Prof. Peter Friz
(TU Berlin)
Abstract

Recent advances at the interface of stochastic analysis, rough path theory, stochastic filtering, stochastic control, and mean-field systems have led to a rapidly developing framework for analyzing stochastic dynamics conditioned on common/observation noise. This mini course  will survey how rough stochastic differential equations, introduced in 2021 by A. Hocquet, K. Lê and the speaker, lead to a unifying perspective across several areas of applied probability. (Additional coauthors include F. Bugini, J. Dause, W. Stannat, H. Zhang and P.Zorin-Kranich).

 

 

Further Information

This mini course will develop in three lectures on the Wednesdays 20/5, 3/6, 10/6 at 11am in L4

Wed, 20 May 2026
11:00
L4

A short course on Rough Stochastic Differential Equations (RSDEs) and Applications (Lecture 1/3)

Prof. Peter Friz
(TU Berlin)
Abstract
Recent advances at the interface of stochastic analysis, rough path theory, stochastic filtering, stochastic control, and mean-field systems have led to a rapidly developing framework for analyzing stochastic dynamics conditioned on common/observation noise. This mini course  will survey how rough stochastic differential equations, introduced in 2021 by A. Hocquet, K. Lê and the speaker, lead to a unifying perspective across several areas of applied probability. (Additional coauthors include F. Bugini, J. Dause, W. Stannat, H. Zhang and P.Zorin-Kranich).
 



 

Further Information

This mini course will develop in three lectures on the Wednesdays 20/5, 3/6, 10/6 at 11am in L4

We are currently inviting applications for a Postdoctoral Research Associate to work with Professor Alain Goriely FRS at the Mathematical Institute, University of Oxford. This is a 2-year, fixed-term position, funded by a research grant from the Human Frontier Science Program. The starting date of this position is 1 September 2026, or as soon as possible thereafter.

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