From data analysis to artificial intelligence, drive innovation with PhD Computer Science at Brunel University London.
When you join the Computer Science research community at Brunel you will be a part of an internationally recognised computing department, 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 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 cybersecurity). Our research delivers computing solutions to industrial and societal challenges, with applications including healthcare, overseas development, education, ecology, finance and manufacturing.
Join one of our research areas:
AI: Social and Digital Innovation
Focus on social, economic and strategic effects of AI and associated technologies. Investigate the impact of AI and related technologies on societies, organisations and individuals.
Deep dive into all sides of empirical and formal investigations of software artefacts – code, formal models and human aspects.
Develop and apply novel methodologies for computational modelling, simulation and analysis of biological systems
Computer Science for Social Good
Investigate and develop new ways and innovative technologies to address challenging socio-economic problems
Conduct 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.
Focus on international digital economy research capability in areas including cybersecurity, trust, identity and privacy challenges, and big data analytics.
Investigate ways in which humans and computers can interact through intuitive interface design, understanding of human factors and multimedia.
Innovate and advance digital science and technology, aligning your research with the Grand Challenges of the UK’s Industrial Strategy, and enhance the global citizen’s quality of life.
Intelligent Data Analysis
Effectively analyse data involving artificial intelligence, dynamic systems, image and signal processing, optimisation, pattern recognition, statistics and visualisation.
Intelligent Digital Economy and Society
Research 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
Build sensor and media-rich, cross-layer, inclusive e-systems, combining human-machine interaction, sensorial-based interfaces, data visualisation and multimedia.
Modelling and Simulation
Investigate 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
Bridge the gap between clinical sciences, engineering and computing for sustainable developments in personal and community health needs.
How to apply?
As a doctoral researcher, you will be welcomed to Brunel as valued members of our thriving, research-intensive community. Browse PhD opportunities, studentship, and learn more about our research by visiting our website.
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