EPSRC Centres for Doctoral Training 2013, Department of Mathematics

by Mrs Magda Vidler

EPSRC Centres for Doctoral Training 2013

Congratulations to Prof D. Crisan, Prof R. Thomas, Prof D. Papageorgiou and to the teams that helped with the proposals.

Centres for Doctoral Training (CDTs) are one of the three main ways by which EPSRC provides support for Doctoral Training.

EPSRC-funded centres bring together diverse areas of expertise to train engineers and scientists with the skills, knowledge and confidence to tackle today's evolving issues, and future challenges. They also provide a supportive and exciting environment for students, create new working cultures, build relationships between teams in universities and forge lasting links with industry.

http://www.epsrc.ac.uk/newsevents/news/2013/Pages/phdnewcentres.aspx

Congratulations to leaders of 3 areas in Mathematics who have been awarded grants:

  • Prof Dan Crisan
  • Prof Richard Thomas
  • Prof Demetrios Papageorgiou

and to the teams that helped with the proposals.

 

The Mathematics of Planet Earth - Prof Dan Crisan

The Mathematics of Planet Earth Centre for Doctoral Training (https://mpecdt.ac.uk/), a partnership between Imperial College London and University of Reading, provides mathematical training spanning from data-driven statistics to model-driven analysis relevant to the Earth system. It will train 76 highly skilled mathematicians to become future leaders in innovative research, developing environmental prediction technologies, interpreting very large datasets relating to the Earth system, and modelling the risk associated with extreme weather and climate change. Further, they will translate their research into applications in the public and industrial sectors dealing with risk and uncertainty quantification for weather, oceans and climate.

 

Geometry and Number Theory at the interface - Prof Richard Thomas

This CDT, which has been set up in partnership with University College London and Kings College London, will help train the next generation of pure mathematicians in the core areas of geometry and number theory. Students will have the opportunity to gain a broad foundation in these fields before undertaking a cutting-edge research project. Additionally, communication and coding skills will be incorporated with teamwork as an integral part of the training. Our graduates will contribute to the sustainability of the mathematical sciences as well as the UK economy more widely. Our centre will also find innovative ways to advance women in mathematics.
The Centre will offer a 4-year PhD programme with a pool of around 40 potential supervisors across the three institutions covering a wide range of research projects as well as graduate-level taught courses. We expect to admit 14–15 students per year over a 5-year period, with the first intake in September 2014.

“A new website is currently under construction. Check back soon, or email the Centre Director, Michael Singer <a href=”mailto: michael.singer@ucl.ac.uk”>, for more information.”

 

CDT in Fluid Dynamics across Scales - Prof Demetrios Papageorgiou

This CDT is an Imperial-wide training partnership involving Mathematics and six Engineering departments (Aeronautics, Bioengineering, Chemical, Civil, Earth Science and Mechanical).
It spans a wide range of fluid dynamics and is underpinned by three pillars: Aerodynamics, Multiphase flows (including microflows) and Fluid surface/structure interactions.
The CDT will train at least 75 PhDs in a unique interdisciplinary environment; students will be trained in theory, scientific computation and experiments, as well as vital transferrable skills of relevance to industry and academia. In addition to cutting-edge research work, students will have industrial exposure through targeted internships with our industrial partners, and will emerge from the programme as the potential future leaders in academic and industrial fluid dynamics research.

Article text (excluding photos or graphics) © Imperial College London.

Photos and graphics subject to third party copyright used with permission or © Imperial College London.

Reporter

Mrs Magda Vidler

Department of Mathematics