Specialisms
We are recruiting to a number of different areas with Computer Science, Mathematics and Engineering. Scroll down to find out more about the specialist areas we are looking for.
External Engagement and Global
The External Engagement and Global Division has been established to enhance the University’s reputation, help to build effective stakeholder relationships, and attract and develop students with the potential to excel. The division focuses on the vision to become a truly global institution, by extending the University’s presence, reach and impact around the world.
Maths of AI
The Maths of AI is the mathematical foundations and techniques that underpin artificial intelligence (AI) and machine learning (ML) algorithms.
It involves the application of mathematical concepts, theories, and methods to develop, analyse and optimise AI models and algorithms. Understanding and applying mathematical principles are crucial for designing, implementing and evaluating AI and ML algorithms, as well as for interpreting their results and making informed decisions.
Strong mathematical foundations allow researchers and practitioners to develop more efficient algorithms, improve model performance, and advance the field of AI.
Machine Learning
Machine learning research at Exeter spans the range of data, applications and methodologies: from kernel methods to deep neural architectures and reinforcement learning applied to both continuous and discrete, graph-based data.
With a developing portfolio of research, we are seeing stronger interdisciplinary and industry links. As applications of AI throw up new challenges, it is vital to have strength in the fundamental theory and practice of machine learning that lay at the core of recent advances in AI, and expertise in the mathematical and computational underpinning of machine learning is also essential for publication in top venues.
The group collaborates with industrial partners and with the Impact Lab and contributes strongly to the University’s membership of the Alan Turing Institute.
Computer Vision
Computer vision is the science of constructing algorithms that enables computer and systems to learn from digital images, videos and other visual inputs.
The proliferation of data and the availability of high performance computing makes this a fertile and very applicable area of research. It draws on ideas in computer science, statistics and applied mathematics, together with biologically inspired paradigms such as neural computation. This growing area of research significance is looking and new and innovative collaborations across the institution, from Digital Humanities to Medical Imaging, Microscopy to Environmental Sciences.
The group collaborates with industrial partners and with the Impact Lab, and contributes strongly to the University’s membership of the Alan Turing Institute.
AI in Healthcare
Exeter has strong groups using AI in diabetes, dementia and the operation of healthcare systems. AI in Health is a priority area for the National Strategy and one of the Turing Institute’s grand challenges.
The UK has taken transformative steps toward improved access to healthcare through the deployment of digital health technologies such as the use of apps and computer systems to monitor health data and share test results. This also serves as a crucial step toward the streamlining and increased efficiency of healthcare through the introduction of AI technologies.
This grouping will include research on advanced methods for large, heterogeneous health and biological data sets (including Bioinformatics), and will interact strongly with developing research areas across the institution.
Software Engineering
With software engineering being crucial for employability of Computer Science graduates, this research group aims to provide breadth to the research and teaching base.
This is a new research group – as well as enabling research-led teaching in core computer science modules, this group will be able to interact with all other groups in Computer Science all of which use software engineering. The University of Exeter is growing a group around Quantum Computing, an EPSRC priority growth area, linking with researchers in Computer Science and Physics.
Environmental Intelligence
The field of Environmental Intelligence encompasses the gathering, analysis, and application of data and information to understand and address environmental challenges.
It combines the fields of environmental science, data science, and artificial intelligence to provide insights and solutions for environmental management and decision-making.
Environmental Intelligence involves the collection of large amounts of data from various sources, including satellite imagery, sensors, weather stations, and other monitoring systems. This data is then processed and analysed using advanced techniques such as machine learning and big data analytics. By integrating and analysing these diverse datasets, Environmental Intelligence aims to uncover patterns, trends and relationships in the environment.
The application of Environmental Intelligence is broad and includes areas such as climate change, biodiversity conservation, natural resource management, pollution monitoring and disaster response. It enables policymakers, researchers and other stakeholders to make informed decisions and develop effective strategies for environmental protection and sustainable development. Environmental Intelligence also plays a crucial role in addressing complex environmental challenges. It can help in predicting and mitigating the impacts of climate change, improving the understanding of ecosystems and their dynamics, optimising resource allocation and supporting early warning systems for natural disasters.
Overall, the field of Environmental Intelligence leverages the power of data and advanced technologies to generate actionable insights and drive evidence-based environmental decision-making. By combining scientific knowledge with cutting-edge tools, it holds great promise for promoting sustainability and fostering a more resilient and environmentally conscious future.
Datacentric Engineering
Datacentric engineering is an approach to engineering that places a strong emphasis on data throughout the entire engineering lifecycle.
It involves the collection, analysis and utilisation of data to inform decision-making, improve design processes and optimise engineering systems.
In datacentric engineering, data is considered a valuable asset that is systematically captured, stored and utilised. This data can come from various sources, including sensors, simulations, experiments and operational systems. It is structured and organised in a way that facilitates its accessibility, reliability and usability.
Datacentric engineering has become increasingly important as engineering systems and processes have become more complex and interconnected. By leveraging data, this approach enables engineers to make evidence-based decisions, optimise performance, and drive innovation across various domains, including manufacturing, energy, transportation and infrastructure.
Faculty of Environment, Science and Economy
Our academic structure comprises three faculties; building on our academic strengths.
They are:
- Faculty of Health and Life Sciences
- Faculty of Environment, Science and Economy
- Faculty of Humanities, Arts and Social Sciences
The Joint Centre for Excellence in Environmental Intelligence (JCEEI) sits within the Faculty of Environment, Science and Economy. The Faculty is one of the world’s best universities in interdisciplinary environment and sustainability and is committed to taking meaningful action on the climate emergency and ecological crisis. We work across fundamental sciences, engineering and business to deliver on the University’s Strategy 2030 to create a sustainable, healthy and socially just future.
The Faculty comprises ten departments in physical and environmental sciences, engineering and includes the globally recognised, triple accredited University of Exeter Business School. Our researchers also play an active role within our interdisciplinary Research Institutes (the Environment and Sustainability Institute, the Institute for Data Science and Artificial Intelligence, the Global Systems Institute and the Living Systems Institute).
A genuine commitment to excellence in both research and education has created an innovative and dynamic community that, through our varied research centres and institutes, is committed to explore opportunities for interdisciplinary endeavour, developing international research partnerships across the world and fostering a vibrant atmosphere for intellectual exchange.