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.
Find people, projects, groups and publications in Computer Science and read more about related research to this area.
Brunel Creative is a gateway to our work in the use of digital technology across the arts, sciences and engineering.
Browse our collection of research outputs including PhD theses
Connecting Africa: New Networks for Open Science
Social, economic and strategic effects of AI and associated technologies. Impact of AI and related technologies on societies, organisations and individuals.
Promoting all sides of empirical and formal investigations of software artefacts – code, formal models and human aspects.
Developing and applying novel methodologies for computational modelling, simulation and analysis of biological systems
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.
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.
Focusing on international digital economy research capability in areas including cyber security, trust, identity and privacy challenges, and big data analytics.
Investigating ways in which humans and computers can interact through intuitive interface design, understanding of human factors and multimedia.
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.
Concerned with effective analysis of data involving artificial intelligence, dynamic systems, image and signal processing, optimisation, pattern recognition, statistics and visualisation.
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.
Building sensor and media-rich, cross-layer, inclusive e-systems, with an interest in human-machine interaction, sensorial-based interfaces, data visualisation and multimedia.
Investigating how modelling and simulation can be supported by research into high-performance computing, e-infrastructures, cyberinfrastructures, cloud computing and web-based simulation.
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.
Computer Science Integrated PhD
Computer Science PhD
Computer Systems Engineering PhD
Electronic and Computer Engineering PhD
Electronic and Electrical Engineering Integrated PhD
Electronic and Electrical Engineering PhD
Information Systems and Computing Integrated PhD
PhD without residence - Ahlia
MacMi- A Machine Learning Approach for Migrating to Microservice
An automatic simulation development approach for agent-based (migration) modelling
XAI Health: Explainability for Artificial Intelligence (AI) in the Healthcare Sector
Data-Driven Defect Detection for Additive Manufacturing
Improving Human-Agent Interaction Using EEG, Virtual Reality and the Interactive Brain Hypothesis
Intelligent Adaptive Design of Steel Structures using Deep Learning and NLP
Accessible by Design: Integrating accessibility into the design process of Extended Reality (XR) applications and services
Explaining model decisions through dialogue
Digital Twin with application to smart manufacturing using electromagnetic pulse technology (EMPT)
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.