PhD in Computing and Informatics

School of Computing and Digital Technologies

The School of Computing and Digital Technologies at Sheffield Hallam University offers a dynamic and interdisciplinary PhD programme in Computing and Informatics, designed to address complex global challenges through innovative digital solutions. Our research environment brings together expertise across core computing domains, fostering collaboration between theory, technology development, and impactful real-world applications. The themes presented here illustrate the School’s current strengths but are not intended to be exhaustive. We welcome proposals that extend beyond the examples listed, particularly where they align with staff expertise or emerging research opportunities.

Research Areas

The School’s research is organised into a set of complementary areas that reflect the breadth and depth of expertise within Computing and Informatics. These areas provide a flexible framework for doctoral study, enabling candidates to develop specialist knowledge while engaging with interdisciplinary challenges. Research topics can be pursued within a single area or span multiple areas, supporting innovative solutions that combine theory, technology, and real-world application.

Artificial Intelligence, Machine Learning and Data Science

This research area focuses on advancing intelligent systems through both theoretical and applied approaches. Core topics include machine learning, statistical and Bayesian modelling, deep learning, graph-based learning, and cognitive or brain-inspired systems. The group also explores conversational AI, natural language processing, and multi-agent systems, alongside computer vision and multimodal perception. A strong emphasis on Responsible AI ensures research addresses explainability, robustness, ethical deployment, and societal challenges such as misinformation and bias.

Human-Centred Technologies and Interaction

This area focuses on designing technologies that are effective, inclusive, and user-centred. Research includes Human–Computer Interaction (HCI), affective computing, and innovative interaction design methods. Extended Reality (XR) technologies (VR/AR/MR) are used to create immersive experiences in areas such as education and wellbeing. In addition, the group develops assistive technologies, healthcare solutions, and accessibility tools, including robotics and monitoring systems that enhance quality of life and support diverse user needs.

Software, Systems and Infrastructure Engineering

This research area addresses the development of reliable, scalable, and intelligent software and systems. Research spans software design, architecture, verification, and testing, including formal methods for high-assurance and safety-critical systems. The group also develops intelligent decision-support systems, optimisation models, and simulation approaches for complex environments. Work on distributed systems, cloud computing, IoT, and edge computing supports the creation of interconnected infrastructures such as smart cities and cyber-physical systems.

Cybersecurity and Trust Technologies

This area focuses on securing digital infrastructures and building trust in computing systems. Research topics include network security, secure software engineering, and identity and access management. The group also specialises in digital forensics and cybercrime investigation, supporting evidence analysis and threat detection. Further work explores safety-critical systems, resilience of national infrastructure, and blockchain technologies for secure, transparent, and decentralised systems.

Digital Transformation, Education and Organisational Change

This research area examines how digital technologies shape organisations and society. Topics include digital transformation strategies, enterprise systems, business–IT alignment, and evolving work practices such as hybrid and digital work. The group also focuses on computing education and pedagogical innovation, including technology-enhanced learning and skills development. Creative technologies such as gamification and game design further support innovation in both education and digital experiences.

Application Areas

Our PhD programme encourages interdisciplinary research that applies these areas individually or in combination to a wide range of impactful domains:

• Robotics and Autonomous Systems – development of intelligent, adaptive systems across industrial, healthcare, and service domains.
• Digital Health, Wellbeing and Bioinformatics – data-driven healthcare solutions including medical imaging and diagnostics, patient monitoring, and biological data analysis.
• Assistive Technologies and Accessibility – inclusive systems that support independence and accessibility for diverse populations.
• Supply Chain and Manufacturing – intelligent optimisation, IoT systems, and digital twins for industrial innovation.
• Landscape and Environmental Science – data analytics and sensing technologies for environmental monitoring and sustainability.
• Smart Mobility and Transportation – AI-enabled transport systems and infrastructure for future mobility.
• Creative Industries, Games and Media – XR, gamification, and digital creativity supporting innovation in media and entertainment.
• Digital Marketing and Customer Experience – analytics, AI, and service design for enhanced user engagement.
• Digital Twins – real-time modelling and simulation of complex systems across industries.

How to apply

Information on entry requirements, tuition fees and other costs can be found on our course page.

You can find more about our academics at our profiles page. Feel free to contact them and discuss your ideas, even if it goes beyond what are presented in this page.