Computer Science research and PhD programmes

Research in Computer Science at Brunel is internationally recognised, ranked 5th in the UK in the Performance Ranking of Scientific Papers for World Universities and 1st in the UK for H-index (source NTU 2018). We have particular strengths in research into computing methodologies (Intelligent data analysis, artificial intelligence, simulation and modelling), software engineering, human centred computing (HCI and interactive multimedia systems) and digital economy (including IOT, trust, privacy and cyber security). Our research delivers creative computing solutions to industrial and societal challenges, with applications including healthcare, overseas development, education, ecology, finance and manufacturing.

Research opportunities for students

Research students are welcomed to Brunel as valued members of our thriving, research-intensive community. Browse PhD opportunities below and find out about the funding available for students.

Doctoral research information

How to apply for a PhD

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Research in Computer Science

Find people, projects, groups and publications in Computer Science and read more about related research to this area.

Meet our experts

65% of our Computer Science and Informatics research is world leading or internationally excellent

Computer Science Research Archive

Browse our collection of research outputs including PhD theses

Brunel Creative

Brunel Creative is a gateway to our work in the use of digital technology across the arts, sciences and engineering.

AI: Social and Digital Innovation

Social, economic and strategic effects of AI and associated technologies. Impact of AI and related technologies on societies, organisations and individuals.

Brunel Software Engineering Lab

Promoting all sides of empirical and formal investigations of software artefacts – code, formal models and human aspects.

Computational Biology

Developing and applying novel methodologies for computational modelling, simulation and analysis of biological systems

Computer Science for Social Good

Our group works with partners in the Global South to lead and promote interdisciplinary research in the field of computer science and social good. We focus on investigating and developing new ways and innovative technologies to address challenging socio-economic problems.

Creative Computing

Multidisciplinary research at the intersection of Artificial Intelligence (machine learning), serious and fun gaming, and cognitive modelling to simulate a physical world either as a virtual, augmented or mixed reality environment.

Digital Economy

Focusing on international digital economy research capability in areas including cyber security, trust, identity and privacy challenges, and big data analytics.

Human Computer Interaction

Investigating ways in which humans and computers can interact through intuitive interface design, understanding of human factors and multimedia.

Institute of Digital Futures

Brings together digital science and technology innovation and advancement, aligned with the Grand Challenges of the UK’s Industrial Strategy, thereby enhancing the global citizen’s quality of life.

Intelligent Data Analysis

Concerned with effective analysis of data involving artificial intelligence, dynamic systems, image and signal processing, optimisation, pattern recognition, statistics and visualisation.

Intelligent Digital Economy and Society

Research into intelligent digital economy and society using AI, data analytics, 6G, media, human-machine interaction, digital games, augmented and virtual reality, digital twins, IoTs, cyber security, data & information fusion.

Interactive Multimedia Systems

Building sensor and media-rich, cross-layer, inclusive e-systems, with an interest in human-machine interaction, sensorial-based interfaces, data visualisation and multimedia.

Modelling and Simulation

Investigating how modelling and simulation can be supported by research into high-performance computing, e-infrastructures, cyberinfrastructures, cloud computing and web-based simulation.

Smart Technology Advancements in Health and Rehabilitation

Data science/wearable technology and Rehabilitation; Haptic feedback, multi-sensory interfacing and Robotics in Health; Immersion and Engagement in Virtual Rehabilitation; TeleHealth/TeleRehab; Data: using AI and Machine learning to improve health.

Browse our research projects

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Statistical Methods on Internet as a Source of Data Gathering

Quantification of carbon emissions and savings in smart grids

A Data-Oriented Predictive Ecology Approach to Modelling Fish Communities during Regime Shifts

Intelligent data-driven pipeline for the manufacturing of certified metal parts

Beamforming using Artificial Intelligence for 6G Networks

A deep learning model for global camera trap labelling

Research in consciousness transfer and communication technologies

Making Deep Learning and AI skills mainstream in India

Networked Labs for Training in Sciences and ICT

Multimodal digital media in journalistic newsrooms

Open Source Software Communities

Verified Exascale Computing for Multiscale Simulations

Digital game-based student centred learning

Mobile technologies for improved home-based healthcare assessments

HPC and Big Data Technologies for Global Systems

Cloud Orchestration at the Level of Application (COLA)

CraftBrew Whole Brewery Management System

Development, financing and distribution: the workflow in the contemporary game industry

Predicting online radicalisation

Using robots to teach the fundamentals of programming

Proximity-based Interactive Media Experiences

Developing an end-to-end Digital Manufacturing solution

High Performance Simulation for Industry and Society (Ongoing Research Theme)

Cloud-based Simulation platform for Manufacturing and Engineering (CloudSME)

Facilitating social media research in social sciences

Establishing a 'Futures Market' for Digital Personhood Data

Micro company productivity enhancement with Cloud Computing

Digital games histories

Petri nets for multiscale Systems Biology

Maintenance models for zero-unexpected-breakdowns

Green data centres

RoboTest

Computing Grid for the exploitation of Large Hadron Collider data in the UK

R&D in preparation for an upgrade of CMS for the Super LHC

Physics analysis and operations of the Compact Muon Solenoid experiment

Developing human-like decision making algorithms for high risk environments

Smart Money

Zero breakdown, a predictive maintenance for manufacturing systems

Zero-defect manufacturing strategies towards on-line production management

Trans African Network Development (TANDEM)

e-Infrastructures for Africa

Energising scientific endeavour through science gateways and e-Infrastructures

Developing a new platform for African Indigenous Knowledge

Hygienic, usable, engaging public mid-air interactions

Understanding privacy and trust dichotomy

Personalised disease modelling

Retinal image analysis

Supporting Patient-Practitioner Collaboration and Adherence via Mobile 3D Interior Design Technology

Multimodal Emergency Guide System for Elderly

3D Software Mapping For Osteoarthritis Pain Self-Management

Pandemic crisis prediction and management

Microelectronics supply chain provenance

Supply Chain Network Optimization

Spiking Sparse Distributed Memory Model and Its Implementation on Loihi Architecture

Using the Internet as a data source

Modernization of Doctoral Education in Science and improvement of Teaching Methodologies: MODEST

Image Analysis for Complex Data in Non Destructive Testing

3D digital glasses for enhancing mobility

Covid immunity passport service design

AI-assisted tax assessment

Trust in home: rethinking interface design in the Internet of Things

Courses

Computer Science PhD

Computer Systems Engineering PhD

Electronic and Computer Engineering Integrated PhD

Electronic and Computer Engineering PhD

Electronic and Electrical Engineering PhD

Information Systems and Computing Integrated PhD

PhD without residence - Ahlia

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Fully-funded studentships

EPSRC Funded DTP PhD Studentships

Our funded studentships become available at different times of the year. Please keep checking our page regularly to see the latest funded opportunities. We also advertise all our funded studentships as soon as they become available on the @BrunelResearch twitter account.

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