Industrially focused mathematical modelling

Mathematical modelling is a collaborative activity which requires close and iterative dialogue between mathematicians and experts in target application areas. Mathematical modellers must learn how to formulate, compare and select different modelling options, and develop a breadth of knowledge to combine and select approaches from different branches of mathematics.

Proposals should have:

  1. partners spanning a range of industrial sectors (such as energy, transport, food, healthcare, communications, defence, finance) and
  2. involve a range of fields within the mathematical sciences such as, differential equations, continuum mechanics, combinatorics, statistics, probability, operational research, discrete mathematics, numerical analysis.

Some rationale for how the sectors, partners and mathematical areas are chosen must be provided to ensure that there is sufficient focus to create a coherent centre.

Proposals should provide a broad training experience in mathematical problem-solving, as well as providing exposure to real-life problems and the barriers and requirements of industry. They will be characterised by significant input from industrial partners:

  1. during the taught course element and
  2. to all PhD research projects.

Proposals could encompass current models of collaborative training such as Cooperative Awards in Science & Technology and Industrial Doctorate, but need not be restricted to these and may be innovative in academic-industry collaborative arrangements for training. The industrial models selected for the PhD research component should inspire demanding new problems in the mathematical sciences, and should be broad, long-term challenges.