Research in the School of Computer Science
Our research covers a diverse range of interdisciplinary areas, informs our teaching and has strong links with industry.
Research in the Agents Laboratory spans the specification, design and implementation of agent-based systems, including logics for agents, agent programming and verification, and the application of agents in simulation and virtual environments.
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 CVL performs basic and applied research in image manipulation, analysis and computer vision. Our goals are to develop novel and efficient techniques for the extraction of quantitative descriptions of viewed objects from a variety of images and image sequences, and to translate those techniques into high quality software tools that can be used to address real world problems.
DAS Research fosters a cross-disciplinary approach to data science by developing machine learning and data mining algorithms and adopting principles of user centred design to maximise the synergy between human intelligence and cyber-physical systems.
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 group has established itself as a unique brand in the UK for end-to-end data modelling and analysis. We are a highly inter-disciplinary research group focusing on the development of models and techniques for real-world and multifaceted problems in data analysis.
The Lab for Uncertainty in Data and Decision Making (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 MRL is a dedicated studio facility within The University of Nottingham where computer scientists, psychologists, sociologists, engineers, architects and artists collaborate to explore the potential of ubiquitous, mobile and mixed reality technologies to shape everyday life.
Join our future research leaders
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.