Oxford Centre for Industrial and Applied Mathematics

OCIAM is a world-leading research group in core applied mathematics. 

We are the largest research group within the Mathematical Institute; between students, faculty, researchers, and visitors, the Centre has around 80 active members and many friends and collaborators around the world.

Because of the collaborative nature of our research, OCIAM cannot be divided into neat groups, nor do members fit into a single group. A division by application area can be found here.

Recent Prizes in OCIAM

Masters students are trained in industrial applications of mathematics via the MSc in Mathematical Modelling and Scientific Computing and the new MSc in Mathematical Sciences.

OCIAM takes 4-8 DPhil students a year onto our doctoral programme, which always attracts the best research students from across the world.

We also have a doctoral program in Industrially Focused Mathematical Modelling (InFOMM), which provides intensive training to pursue a research project aligned with a specific company.

Here's some information about various Fellowships that are available to fund post-doctoral research.

Any postdoctoral positions we advertise on the University of Oxford vacancies page.

• Prof. Alain Goriely FRS (Director)
• Prof. Andreas Münch (Deputy Director)
• Dr. Murad Banaji
• Prof. Chris Breward
• Prof. S. Jon Chapman
• Prof. Paul J. Dellar
• Prof. Radek Erban
• Prof. Ian Griffiths
• Prof. Peter Grindrod CBE
• Prof. Heather Harrington
• Prof. Ian Hewitt
• Prof. Peter Howell
• Prof. Sam Howison
• Prof. Irene Moroz
• Prof. Derek Moulton
• Prof. Renaud Lambiotte
• Prof. James Oliver
• Prof. Dominic Vella
• Prof. Sarah Waters
• Dr. Nicola Kirkham (PA to Directors & Research Support for OCIAM)

       Everyone else in OCIAM is listed here

Bulletin 21 MT 2022

Bulletin 19 TT 2021 - print edition

Bulletin 18 MT 2020 - print edition

Bulletin 17 HT 2020 - print edition

Bulletin 16 MT 2019 - print edition

Professor Alain Goriely is Director of OCIAM, and the Statutory Chair of Mathematical Modelling. In this lecture he asks, 'Can Mathematics understand the brain?'

Heather Harrington explains, 'The Shape of Data in Biology'.