An A-Z list of all research areas. On each research area page you will find a description of the area, along with details of and reasons for the strategic actions EPSRC intends to take. To help digest the information we have introduced visual icons to summarise particular highlights in the strategic focus of each research area. The Icons are not intended to cover all potential topics. Please use the filters to customise the listing on this page.
Development of novel techniques, or novel application of existing techniques, to analyse chemical or biological matter and systems, for example.
The reproduction or surpassing of abilities (in computational systems) that would require 'intelligence' if humans were to perform them.
Assistive Technology research aims to restore human function and/or enable independence for older people, the disabled and those with long-term conditions. Musculoskeletal Biomechanics is the study of forces and their effects on the musculoskeletal system.
Understanding information processing in biological systems.
The application of engineering methods to create environments and/or materials that promote cell or tissue growth and function, in vitro and in vivo.
Biophysics combines approaches from physics with biological questions and hypotheses; Soft Matter Physics investigates soft condensed matter systems.
Quantitative engineering research into the design and operation of buildings and the construction processes involved.
Development of novel chemical tools and technologies for the understanding of biology and the synthesis of biological and biologically active molecules.
The study of rates and mechanisms of chemical reactions in gas and solution phase, and at surfaces.
Determination of chemical structure by spectroscopic, diffraction and thermodynamic techniques.
Encompasses a range of areas (e.g. sensors, instrumentation, modelling, materials, and drug delivery) relevant to the development of new healthcare device solutions for the diagnosis, prevention, treatment, and monitoring of disease, injury, or disability.
Encompasses theories, methodologies and tools for modelling, analysis, design and optimisation of self-regulating systems, with an emphasis on uncertainty and robustness of feedback systems. This research area underpins a number of others across the engineering and physical sciences research base.
Assesses the effects of decarbonisation on the existing energy supply and transmission networks and how future network technologies will deal with these challenges.
Theories, methods and tools for generating, modelling, optimising, simulating and reasoning about complex engineered systems.
Synthesis and manipulation of visual content, including augmented/virtual reality, animation, immersive technologies and novel ways of visualising data.
Understanding and tackling challenges relating to ground and underground structures, geotechnics and environmental/hazardous aspects of structures.
The study of how humans interact with computers and how to design computer systems that are effective for people to use.
Aspects of enabling research that relate to the interconnectivity (wired or wireless) of computers, devices and sensors.
The theory and fundamental underpinning of Image and Vision Computing in both 2D and 3D, across the electromagnetic spectrum.
Management, retrieval and representation of information and knowledge.
Mathematical Biology covers research into the development and application of state-of-the-art mathematical or statistical tools and techniques to investigate biological processes and systems, including those of relevance to the medical sciences.
Research into medical imaging instruments and signals for therapeutic, monitoring and diagnostic purposes, and includes image analysis.
Research into electronic devices for processing information, including new applications, new materials and the integration of novel technologies into electronic components.
Research into the mathematical treatment of systems which do not satisfy the principle of superposition (i.e. systems where the outputs are not directly proportional to the inputs).
Development and application of advanced analytical methods to support improved decision-making, especially in relation to the operation of complex and uncertain systems.