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Computer Science and Informatics (PhD)
| Program start date | Application deadline |
| 2025-10-01 | - |
| 2026-01-12 | - |
| 2026-04-20 | - |
Program Overview
Overview of the University of Huddersfield
The University of Huddersfield is a vibrant and rapidly growing research community with expertise in diverse areas, including visualisation, information and systems engineering, and intelligent systems. The university aims to research and develop new methods and technology in computer science that will have a real impact on global grand challenges in areas such as transport, health, security, and energy.
Research Areas
The university has a wide range of research areas, including:
- Artificial intelligence: planning, autonomous systems, knowledge representation, and reasoning
- Information systems: Web-based information systems, semantic web, big data
- Human-Computer Interaction: visualisation, computer games
Fees and Finance
The tuition fees for UK postgraduate researchers are:
- Full-time: £5,050 in 2025/26
- Part-time: £2,525 in 2025/26 Tuition fees will cover the cost of study at the university. Please note that tuition fees for subsequent years of study may rise in line with inflation (RPI-X).
Researcher Environment
The university provides a thriving research culture, with access to world-leading facilities, advanced research skills training, and expert careers advice. Postgraduate researchers contribute to this culture and gain access to bespoke training programs, online research training support, and externally accredited training programs.
Student Support
The university offers support networks and services to help students get ahead in their studies and social life. These include facilities, student events, and access to dedicated staff and resources.
Why Choose Huddersfield?
There are many reasons to choose the University of Huddersfield, including:
- Teaching staff who rank first in England for the proportion with higher degrees and teaching qualifications
- An average salary of £36,101.44 for postgraduates fifteen months after graduating
- 97% of postgraduate students going on to work and/or further study within fifteen months of graduating
THE Impact Rankings
The university currently holds the following THE Impact Rankings:
- 6th out of 796 global institutions for reduced inequalities
- 45th out of 850 global institutions for decent work and economic growth
- 50th out of 745 global institutions for peace, justice, and strong institutions
World-Leading Research
The university is in the top 50 UK universities for Research Power, with three-quarters of all research being world-leading and internationally excellent. The research environment is also classified as world-leading and internationally excellent, especially in Music, Biological Sciences, Architecture and Built Environment, Social Work and Social Policy, History, and Communication and Media Studies.
Researcher Training
The university provides bespoke training programs for postgraduate researchers, including sessions on PhD thesis writing, publications and journals, post-doctoral opportunities, poster and conference presentations, networking, and international travel opportunities. Researchers also have access to online research training support and externally accredited training programs.
Student Protection Plan
The university has a Student Protection Plan in place, which includes a guide to key terms and conditions, student handbook, and relevant policies. The plan ensures that students are protected in case of changes to their supervisory team, topic of research, or other circumstances outside the university's control.
Terms and Conditions
The university's terms and conditions, student handbook, and relevant policies are available on the university's website. These documents outline the university's expectations and responsibilities, as well as the student's rights and responsibilities.
Contact Information
For more information about fees and finance, please email the Student Finance Office or call 01484 473660.
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About Us
The University of Huddersfield is a member of Yorkshire Universities and is located in Huddersfield, UK. The university's address is: University of Huddersfield Queensgate Huddersfield HD1 3DH
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Accessibility Statement
The university is committed to providing an accessible and inclusive environment for all students. The university's accessibility statement is available on the website.
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The university's alternative telephone number is 01484 473660.
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University of Huddersfield
The University of Huddersfield is a vibrant and rapidly growing research community with expertise in diverse areas, including visualisation, information and systems engineering, and intelligent systems. The university aims to research and develop new methods and technology in computer science that will have a real impact on global grand challenges in areas such as transport, health, security, and energy.
Computer Science and Informatics (PhD)
The Computer Science and Informatics (PhD) program is a research-based degree that allows students to explore and pursue a research project built around a substantial piece of work, which has to show evidence of original contribution to knowledge. The program is available as full-time, part-time, and distance learning.
Key Information
- Entry Requirements: A Master's degree or an honours degree (2:1 or above) or equivalent, normally with a classification of merit or distinction, in a discipline appropriate to the proposed program to be followed, or appropriate research or professional experience at postgraduate level, which has resulted in published work, written reports, or other appropriate evidence of accomplishment.
- Start Dates: 1 October 2025, 12 January 2026, 20 April 2026
- Application Deadlines:
- For September 2025: 13 June 2025 for International and Scholarship Students, 04 July 2025 for Home Students
- For October 2025: 13 June 2025 for International and Scholarship Students, 04 July 2025 for Home Students
- For January 2026: 17 October 2025 for International and Scholarship Students, 14 November 2025 for Home Students
- For April 2026: 23 January 2026 for International and Scholarship Students, 20 February 2026 for Home Students
- Duration: The maximum duration for a PhD is 3 years (36 months) full-time or 6 years (72 months) part-time with an optional submission pending (writing-up) period of 12 months.
What Can I Research?
There are several research topics available for this degree, including:
- A Dynamic Strategy for Combating AI-powered Misinformation
- ADVANCED AND TRANSFERABLE TIME SERIES ANALYSIS METHODS FOR ANOMALY PREDICTION
- AI-Enhanced Visual Event Management for Smart Houses
- AI-driven Interactive Visualisation using Network Graph Analysis (NGA) for neighbourhood Energy Performance Comparison
- ATLAS at CERN: Trigger and data aquisition (TDAQ) system
- Advanced Co-Simulation Procedures and Application on Pantograph-Catenary Interaction
- Advancing Edge Intelligence for AIoT Applications in Smart Environments
- Aerodynamic Effects in Pantograph-Catenary Interaction Dynamics
- Analysing the Impact of Aspect Oriented Programming on Software Sustainability
- Applying Deep Learning for Intrusion Detection System in the Internet of Things (IoT) Network
- Argument Mining for Fact-Checking in Public Debates
- Argument Mining for Personalized Treatment Plan Generation to Support Clinical Decision-Making
- Argument Mining from Natural Language Text
- Asset Twin—Context Aware Energy Prediction platform/toolkit to enhance buildings Performance
- Blockchain trust mechanisms for the Industrial Internet of Things
- Counterfactual Explanations for Fairness and Bias in Decision-Making with AI
- Cross-Realm Analytics for Business Intelligence
- Dead-Zone or Nearly-Dead-Zone Finder in Large IoT Networks
- Descriptive Complexity Theory in Coq
- Detection and analysis of online misinformation during pandemics
- Developing gesture elicitation approaches for immersive systems
- Development of Attention Mechanisms for Structural Health Monitoring
- Disorder-Specific Knowledge Graph for Autism Spectrum Disorder
- Enabling Smart Healthcare at Home in Fog Computing
- Enhancing Independent Living for Dementia Patients through Computer Vision-Based Assistive Technology
- Explainable Human Activity Recognition in Smart Home Assisted Living Environment using Argumentation technology
- Explainable Visual Analytics: Interactive Visual Explanations for Machine Learning Models
- Explainable and Trustworthy Artificial Intelligence Solutions for Net Zero Supply Chains
- Explainable predictive analytics using an ontologically based feature space
- Finite Element Modelling of Flexible Structures with application in Pantograph-Catenary Interaction
- Flattening the curve: a posthoc analysis of COVID-19 aftermath
- Formalization of Martingales in Coq
- Formalizing Logical Entropy in Coq
- Generative AI and Visual Analytics for the Contextualization and Prediction of Energy Performance in Residential Buildings
- Governing distributed learning algorithms within Internet of Things (IoT) networks
- Hardware-In-the-Loop (HiL) Simulation and Testing of Pantograph-Catenary Interaction
- Hybrid Rule-based and Data-driven Approaches to Activity Recognition in a Smart Home Environment
- Improving Learnability in Audio Mixing Interfaces
- In-Transit Analytics of data streams from Internet of Things (loT) devices
- Innovative Learning Techniques for Improving the Performance of Al Planning Engines
- Integrating IOTA Tangle and Fog Computing to Enable Distributed Intelligence in Next-Generation IoT Systems
- Intelligent Assistive Technology and Health Care Systems
- Machine Learning of Domain Models for Long Term Autonomy and Explainable Al
- Machine Learning using human-derived knowledge for machine tool maintenance
- Modelling and optimum energy management of microgrid system
- Multi-inhabitant Activity Recognition and Indoor Localisation in a Smart Home Environment
- Multiagent Systems for Resilient Internet of Things (IoT) Architectures
- Multibody Methods for Pantograph Dynamic Analysis
- Operationalisation of Explainable AI-powered Systems
- Personalised Student Learning using AI algorithms
- Predictive Multi-modal Modelling for Dementia Variant Classification in Community-Dwelling At-Risk Older Adults
- Quantifying Railway Network Resilience: Developing a Framework for Measuring and Evaluating Railway Network Resilience
- Secure Multiparty Authentication for the Internet of Things
- Secure software by design from an adversary perspective
- Security and Privacy Preservation in the Internet of Things
- Semantic Digital Twins
- Towards Trustworthy AI Systems: Developing Transparent and Explainable Models
- Turing Categories in Coq
- Understanding user requirements for web-based music therapy systems
- Verified Kolmogorov Complexity
Teaching and Assessment
As a minimum, students can expect to meet with their supervisors at least once a month (once every two months for part-time students). Self-directed study is to be agreed in liaison with the student and their supervisor. Self-directed study and supervision time should equate to 35 hours per week (for full-time research degrees).
Fees and Finance
The tuition fees for UK postgraduate researchers are:
- Full-time: £5,050 in 2025/26
- Part-time: £2,525 in 2025/26 Tuition fees will cover the cost of study at the university. Please note that tuition fees for subsequent years of study may rise in line with inflation (RPI-X).
Important Information
The university will always try to deliver the course as described on the web page. However, sometimes changes may be necessary due to circumstances outside the university's control. The university will discuss these changes with students and agree on any necessary changes. The university's terms and conditions, student handbook, and relevant policies are available on the university's website.
