Mathematical Sciences Fellowship Priority Areas
Mathematical Sciences offers fellowships within the following priority research areas, please see below for descriptions of these areas.
Statistic and its Interfaces (Postdoctoral)
This priority area covers methodological and theoretical research in Statistics and its Interfaces, which is generally defined as the development of models for investigating phenomena and data “involving some form of randomness or noise”. It covers a wide spectrum of research in stochastic and probabilistic modelling and inference in stochastic systems. Any proposals focusing on Applied Probability submitted to this priority area must be linked to statistical research. Applied Probability research linked to other areas of Mathematical Sciences should be submitted through the Intra-disciplinary Research or New Connections priority areas.
In addition to the core fellowship Person specification, the Mathematical Sciences theme would like to encourage applications from candidates who reach across traditional interfaces between areas of statistics to other areas of the Mathematical Sciences and other scientific disciplines. The proposed research should focus on the statistical developments; either fundamental research or research motivated by applications such as Artificial Intelligence, machine learning, big data or data science.
Continuum Mathematics and Advanced Materials in the Mathematical Sciences (Postdoctoral)
EPSRC is looking to support leaders at the postdoctoral and early career stages to develop advanced mathematical and/or numerical tools to improve our ability to understand, design and predict the properties of matter exhibiting complex behaviour or advanced properties. Such matter may include fluid, solid or multiphase materials. We particularly welcome applications seeking to develop mathematical approaches to improving the design of advanced materials or to improving our ability to understand and predict the behaviour of complex fluids. Proposals in this area should primarily focus on the development of advanced mathematical and/or numerical methodologies but applicants should clearly articulate how they will ensure effective knowledge exchange with relevant application areas, for example through collaboration with researchers in other disciplines and/or industry. Proposals which seek to develop mathematical and/or numerical techniques in collaboration with experimental research in an iterative approach are especially encouraged.
Statistics and Applied Probability (Postdoctoral)
This priority covers methodological and theoretical research in statistics and applied probability, which is generally defined as the development of mathematical models for investigating phenomena
involving some form of randomness or noise. It covers a wide spectrum of research in stochastic and probabilistic modelling and inference in stochastic systems.
In addition to the core fellowship Person specification the Mathematical sciences theme would like to encourage applications from candidates who reach across traditional interfaces between areas of statistics and applied probability to other areas of the Mathematical sciences and other scientific disciplines. The proposed research should focus on the mathematical developments although they may be motivated by applications. If you would like to check that your proposed research is within EPSRC's remit, please complete the remit query form and email it to the fellowship contact.
Intradisciplinary Research (Postdoctoral)
The 2010 International Review of Mathematical Sciences commented on the unity of the discipline and that ideas from one subfield serve as the inspiration and foundation for major results in a seemingly different subfield. There are many connections between the subfields of mathematics and research at these interfaces offers high potential for new innovative and transformative research.
Intradisciplinary research encompasses combining techniques from a variety of fields of mathematical sciences to make definitive and novel progress in one particular field, or bringing techniques from one area to enhance and progress another area substantially. It may even lead to entirely new areas of research. We wish to support intradisciplinary research that is both novel and innovative by supporting individuals who have the ability to identify and exploit new connections.
Proposals should state very clearly which techniques and fields of the mathematical sciences are being brought together, why this provides a potentially transformative approach and how it will open up new research directions. Applications which do not fit this criterion will be rejected.
New Connections from Mathematical Sciences (Postdoctoral)
EPSRC is looking to support future research leaders in mathematical sciences who will work at the interfaces of mathematics with other disciplines. In particular, we wish to encourage connections to real-world problems in areas where the creative use of mathematics has the potential to lead to significant advances that those other disciplines could not achieve in isolation. Proposals should have significant mathematical content, either via the development of new mathematical tools, via novel combinations of existing mathematical techniques, or via novel applications of mathematics, and should inspire new ideas in both the mathematics and application areas. We particularly encourage proposals that tightly couple the development of the mathematics component with data from the application area in an iterative approach, rather than develop theory in isolation. Fellowship proposals should be focussed around the mathematical concepts and tools needed to understand, model, control or predict key properties of multi-scale real-world systems at the different levels.
Mathematical aspects of operational research (Postdoctoral)
This priority covers the development of novel mathematical techniques for the analysis, modelling and solution of management and operational problems in commerce, industry and the public sector.
Following the capability building in OR resulting from the LANCS Initiative, we are looking to provide continued support in the area of OR, in particular at the postdoctoral and early career stages.
Proposals are sought which demonstrate both methodological innovation and applied relevance. Proposals targeting applications in data analytics, energy, healthcare and manufacturing are especially welcome, though this list is not intended to be exhaustive. Applicants are asked to ensure that mathematical novelty is central to their proposal and is clearly articulated within it.
Early and Established Career
Fellowship applications are welcome across the Mathematical Sciences theme.