Completed Physics & Astronomy Mathematics & Statistics

EPSRC Centre for Doctoral Training in Mathematical Analysis and its Applications:Maxwell Institute Graduate School in Analysis & Applications - MIGSAA

In plain English

AI plain-English summary

The Maxwell Institute will train over 60 PhD students in mathematical analysis over several years, focusing on nonlinear partial differential equations and their real-world applications. This centre addresses a proven shortage of researchers who can both develop and implement sophisticated mathematical models. Many industries face problems that require cutting-edge differential or stochastic mathematics—from oil extraction and renewable energy grid strategies to financial processes, climate change ecology, and brain function. Currently, too few PhD graduates possess the combined theoretical depth and practical skills to tackle these challenges. If successful, MIGSAA will produce a steady flow of mathematicians who can mount rapid, agile responses to complex modelling problems. Students will receive rigorous academic training alongside early-stage career development in public engagement, collaboration, responsible innovation, and industry interaction. The four-year programme includes assessed projects, advanced courses, and a strong cohort environment with shared office space and residential symposia. These graduates will strengthen the UK’s capacity to solve pressing problems in energy, finance, climate, and medicine—fields where mathematical modelling quietly underpins critical decisions.

View original technical description
In this proposal we seek to establish a Centre for Doctoral Training in Mathematical Analysis and its Applications. The main purpose of the centre is to train upwards of 60 new PhD students in this area over several years, and in doing so address the proven skills need for highly-trained researchers in this area. The centre will be founded on rigorous mathematical analysis and its applications, with a strong focus on nonlinear partial differential equations, under three broad themes: theoretical, stochastic and numerical. Its scope includes harmonic analysis, mathematical analysis of large-scale discrete structures, applied analysis, dynamical systems, stochastic analysis, financial mathematics, applied probability and computational mathematics. There will be a special emphasis on the connections and interactions between these areas, and their applications, and active collaboration with industry -- in the formulation of student projects, in mentoring PhD students, in developing work placements for the students, and more broadly in two-way knowledge exchange -- will be a key feature of this CDT. The need for mathematicians trained in this centre is manifest in real-world phenomena where cutting-edge differential and/or stochastic models are needed, for example in oil extraction, in power grid renewable energy strategies, in finance processes, in ecological impacts of climate change, and in procceses inside the brain. We shall provide a flow of such PhDs with multiple skill sets and the ability to deal with the sophisticated challenges arising in mathematical modelling: they will be able to both analyse and implement and will be in a position to mount rapid and agile responses to current and future challenges. MIGSAA training will be constructed on two main pillars: outstanding academic provision and early-stage career development. These are underpinned by development of a strong sense of cohort. As a fully integrated joint 4 year PhD programme, it will offer much more than the standard UK Mathematics PhD model. Initial academic training will build upon the firm foundation provided by SMSTC, and will feature a strong taught and assessed component. Students will also complete two assessed projects during their first year. It is intended that the two projects will span the areas of MIGSAA, and will provide a firm basis for choosing the topic for the main PhD dissertation towards the end of Year 1. The main PhD project, which will be challenging and substantial, will lead to original research findings at the cutting edge of mathematical endeavour. A tranche of specially designed, more advanced courses will be available for students in Year 2 and beyond so that students will continue to consolidate the available knowledge and expertise as they continue on their main research project. Students will be further supported by a carefully-planned programme of complementary research activities. There will be a strong focus on early-stage career development in its broadest sense. This will include training in public engagement, effective collaboration, understanding the impact agenda and responsible innovation, leadership, outreach, media training, engagement with industry and networking. Central to our vision for MIGSAA is the sense of cohort which it will foster. Beginning with the annual induction event, the cohort environment already offered by participation in SMSTC will be significantly enhanced by provision of contiguous office accommodation and dedicated common spaces, with Year 1 students collocated at ICMS in central Edinburgh. For the later years cohort activities include: physical attendance at higher level courses, research seminars and generic skills courses; active working groups encouraging peer-to-peer learning; annual residential symposia.

View the original record at the funder ↗

Researchers

Dugald Duncan (Co-Investigator)

Related Research

Grants with similar aims, by meaning.

EPSRC Centre for Doctoral Training in Analysis (Cambridge Centre for Analysis)
EPSRC Centre for Doctoral Training in Mathematical Modelling, Analysis and Computation (MAC-MIGS)
EPSRC Centre for Doctoral Training in Mathematics for Real-World Systems II
Centre for Analysis and Nonlinear Partial Differential Equations
EPSRC Centre for Doctoral Training in Algebra, Geometry and Quantum Fields (AGQ)

Original classification

Training Grant

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.