Our research covers a diverse range of interdisciplinary areas, informs our teaching and has strong links with industry.
REF Results 2021
The School of Computer Science maintains a position in the upper quartile of the UoA, with an increase from REF2014 in the percentage of ‘internationally excellent’ and ‘world-leading’ outputs and ‘outstanding’ impact case studies. The excellence of the research environment is recognized by its 100% ‘world-leading’ assessment.
In the MRL, computer scientists, psychologists, sociologists, engineers, architects and artists collaborate to explore the potential of ubiquitous, mobile and mixed reality technologies to shape everyday life.
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Our research and teaching are primarily around the application of novel optimisation and learning methods in real world applications, with a strong theoretical input.
The Computer Vision Lab (CVL) is a multidisciplinary group performing basic and applied research in image manipulation, image analysis, computer vision and related areas of machine learning.
Research within CybSec is focused upon formal and human-centric aspects of cyber security, with an interdisciplinary perspective that considers the intersection of security technology and those who use it.
The aim of the FPL is to develop simple but powerful techniques for writing and reasoning about programs, by recognising and exploiting their underlying mathematical structure.
The IMA is established in end-to-end data modelling and analysis. We are an inter-disciplinary research group focusing on the development of models and techniques for real-world and multifaceted problems in data analysis.
LUCID was founded in early 2016. It brings together a number of researchers with the purpose to advance our understanding of how to capture, model and reason with uncertain data.
The Cobot Maker Space is a university cross-faculty facility and was developed with a combination of Smart Products Beacon and strategic EPSRC funding and partners the Horizon DE Research Institute and the TAS Hub.
Cyber-physical Health and Assistive Robotics Technologies (CHART) Conducting foundational and applied research in intelligent cyber-physical systems and robotics technologies to support personalised health and well-being
(VisTAG) at the University of Nottingham conducts internationally leading research in the areas of visualization, computer graphics, and text analytics including information visualization, scientific visualization, visual analytics, natural language processing and information retrieval.
The aerospace algorithms making our skies cleaner
How digital experiences can affect the wellbeing of young people
A quantum leap for brain imaging
Long live the tomato
How community pharmacists are protecting millions across the globe
We have produced the Collaborative research in the School of Computer Science: Making a difference brochure to showcase the various ways the school has worked in partnership with industry, featuring case studies and information from across all research groups.
World-class talent, working in multidisciplinary teams and with inspiring leaders, are at the heart of capturing new ideas and translating these into world-changing solutions.
As a research-led institution, the University of Nottingham recognises the value and contribution of early career researchers in delivering its ambitious, high-quality research vision. In order to enhance this vital aspect of our research network we will recruit 100 Nottingham Research and Anne McLaren Fellows by the end of 2020.
Find out more and how to apply
The Research Administration and Support Team for the School of Computer Science can be contacted at firstname.lastname@example.org for general queries about our research.
University of NottinghamJubilee CampusWollaton Road
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