Centres and Institutes
Centre for Landscape and Climate Research
The aim of the CLCR is to understand interactions of the water cycle with ecosystems across multiple spatial and temporal scales. It will undertake fundamental research that helps solve the problems of global biodiversity loss, water scarcity and flooding, and threats to food security, which are arising from complex interactions between anthropogenic climate change and land use change.
Centre for Materials Research
The aim of the centre is to bring focus and facilitate growth in activity in materials chemistry research and knowledge exchange. It provides a hub for interdepartmental collaboration, and a nucleus of critical mass to enable collaboration and the pursuit of joint grant funding. A unique aspect of the centre is the ability of the research groups to engage in fundamental academic studies but also to translate the outcomes and scale-up to pilot processes via interaction with industrial partners. This is reflected in the funding sources that include EU sources, Innovate UK, KTP and commercial contract income.
MMC - Centre for Mathematical Modelling
The MMC unites researchers with shared interests in advanced modelling and simulation methods. Cutting across traditional disciplinary boundaries, the MMC organizes a broad-based research series, funds visiting scholars and small workshops on Centre-related themes, and hosts an annual Distinguished Lectureship.
Centre for Palaeobiology Research
The centre provides a focal point for our distinctive and internationally recognized palaeobiology research. Our research programmes focus on Palaeozoic and Mesozoic organisms and exceptionally preserved fossil biotas (lagerstätten), with the aim of enhancing understanding of the processes and patterns of the evolution of life, and the interactions between the biosphere and other elements of the Earth system.
SRC - Space Research Centre
The SRC's programme has two main foci: the Space Science Instrumentation (SSI) Group, and the Earth Observation Science (EOS) Group. SSI develops novel sensors and optics for high energy astrophysics, planetary landers and orbiters, and interdisciplinary research in the Life Sciences and Medicine. EOS studies the sea and land surfaces of the Earth and investigates the atmosphere from space platforms.
Centre for Sustainable Resource Extraction
The vision of the centre is to carry out research that will ensure security of supply of Earth resources to society coupled with a substantial reduction in environmental footprint, through the development of disruptive technologies that will revolutionise the relevant industries. In particular, the mineralogically focussed solvent extraction-processes developed at Leicester will allow recovery of a wider range of materials with lower costs, lower environmental impacts, and lower energy consumption.
AdvMicro - Advanced Microscopy Facility
The AMF supports major experimental research activities in the departments of Chemistry, Engineering, and Physics. It aims to promote the advancement of multidisciplinary research activities across the Physical and Biological Sciences.
SWIFT Science Data Centre and NASA mission (Gamma and X-ray). The NASA-led SWIFT satellite has been finding around 90 new Gamma-Ray Bursts a year since launch in 2004. It has provided the most complete study of GRBs so far, finding the most distant objects in the Universe and rapidly advancing science in this area. On the UK SWIFT Science Data Centre site you can find out more about the mission and GRBs, as well as obtaining data from the on-board instruments and building X-ray products.
NISCO UK Research Centre
NISCO UK Research Centre (NU-RC) aims to become a centre of excellence in the field of digital manufacturing, new metallic materials and processes. NU-RC is a long term partnership between the University of Leicester and NISCO.
Research Centre for Artificial Intelligence, Data Analytics and Modelling (AIDAM). The Centre carries out sustainable research in artificial intelligence (AI), data analytics and modelling; focusing on data-driven AI systems that are resilient, robust, trustworthy and adaptable to changing operational conditions.