We have supported almost 100 internships to date and opened applications for projects outside our research themes of Digital Health, Digital Humanities and Machine Learning in 2026. We hope to increase project outside these fields in the coming years.
Arts and Humanities
- Ballast Hill burial ground
- Creating a Historical Sentiment Lexicon Using Johnson’s Dictionary and HPC
- Data collection and deep learning models for music emotion recognition
- Deep Learning Models for Automatic Chord Recognition in Polyphonic Audio
- From Modern Tweets to Victorian Broadsheets: Sentiment Analysis Software for Victorian Literature
- Geospatial, textual, and computer vision approaches to research in the humanities
- Humanities data science: Geospatial, network, and textual analysis
- Language of Early Capitalism from 17th-18th Century
- Learning Semantically Meaningful Representations in Image and Music Data
- Learning to run social network analyses on historical data at scale with HPC
- Leveraging Bede's capabilities in Machine Learning for the Digital Humanities Task of Explainable Music Generation
- Mapping Anthropogenic Weather
- Music.Me: A Personalised Music Recommendation System for Wellbeing
- PolyChron: FAIR data for post-excavation analysis
- Sustaining Computational Research in the Humanities
- Where did the English novel come from? Experimenting with computational approaches to explore language in 17thCentury prose fiction.
- Word Level Techniques for Historical Spelling Normalization
Bioscience, Medicine and Health
- AI Care federated
- Benchmarking large language models for reading biomedical literature
- CIZ1 Training Ground: U-Net Approach for Drag-and-drop Image Analysis
- Data Pre-processing and Generation for Real-World Neural Architecture Search Applications
- Deciphering the IHF-DNA Binding Mechanism: Implications for Suppressing Stubborn Bacteria
- Enhancing Healthcare for Older Adults: Predictive Heart Monitoring Using Wearable Technology - Data Science Application
- Establishing Machine Learning Protocols for Directed Synthesis and Reaction Optimisation
- Exploring how stakeholders have experienced the digital transformation of the NHS in relation to routine HIV care service delivery
- From Images to Insight: AI and Digital Twins for Retinal and Systemic Diseases
- GEM: a domain-specific modelling language for disease outbreak models
- Gemlib: a Python library for epidemic modelling
- GPU-accelerated Personalisation of Automatic Speech Recognition for Electrolarynx Speakers
- High-Performance Proteomics at Scale: An R Package and Interactive Web Portal for Standardised Analysis
- How have stakeholders have experienced the digital transformation of the NHS in relation to routine HIV care service delivery?
- Identification of sub-groups of chronic obstructive pulmonary disease patients using clustering analysis of small airway histopathology
- Investigating DNA–Protein Interactions Governing Biofilm Stability using Molecular Dynamic Simulations
- Knowledge Extraction using Large Language Models (LLMs) for Explainable Mental Health Assessment
- MobGap-Plus: a pipeline from raw sensor data to mobility outcomes
- NeuroBatch: Harmonising data from an international neuroscience project
- Pair Spectrometer Calorimeter Reconstruction Using Machine Learning
- Pilot for searching NHS imaging
- Population-Scale Biomechanics: Modelling of a Spinal Unit using HPC
- Reducing Ethnical Bias in 3D Face Analysis Using a Neural Network Learned Natural Illumination Prior
- Research and analysis of Staphylococcus aureus cell shape and volume changes during the cell cycle
- Simulations on the H-NS protein: the sentinel of antibiotic resistance genes in bacteria
- Software Development for Automated Paediatric Brain Tumor Detection, Classification and Segmentation with 3D Tumor Imaging Tool
- Transformer-based Molecular Classification Models for Blood Brain Barrier Penetration Prediction
- Virtual Population Simulation for Glucose-Insulin Dynamics
Computing
- Do LLMs Lose Answers?
- Easing the access to high-throughput GPUs for Deep Learning researchers
- Improved inverse reinforcement learning for attacker's intention inference
- Interpreting Readability Evaluation with Explainable AI
- Investigating overthinking trends in reasoning model chain-of-thought
- MCMC Convergence and Tessellation Budget Sensitivity in the AddiVortes Model
- Parallel Hybrid Solving of Challenging Decision Problems
- Revisiting the Risk Elicitation Puzzle: A Machine Learning Approach
- Sustainable AI Data Compression Case Study: Profiling BOA on BEDE
- Toward better energy and marginal carbon intensity data for research and teaching
- What do Large Language Models Know?
Engineering
- AI-assisted stability certification for net-zero power systems
- Power-system analysis of nuclear flexibility within the GB energy system
Science
- From Simulation to AI: Neural Networks for Chemical Kinetics in Turbulent Hydrogen Swirling Flames
- GPU-accelerated Personalisation of Automatic Speech Recognition for Electrolarynx Speakers
- Improving the FLAME GPU User Experience through Examples
- Machine-learning gauge-dependent density functionals: a challenge even in a fixed gauge
- Molecular Design of Green Polymers for Fabric Surface Modification: A Multiscale Computer Simulation Approach
- Pipeline for fitting thermal responses of mosquito traits
- Reduced order modelling of land subsidence
- Unlocking the complexity of organismal colour patterns using artificial intelligence
Social Sciences
- Soft Power Competition in Africa: A Comparative Study of China and India’s Influence Strategies
Digital Research Applications
- An assessment of the impact of Digital Research Infrastructure at the University of York
- Exploring digital tools for large and mixed data sets regarding undergraduate assessment, attainment and engagement
- Extreme scale text analysis pipelines: comparative evaluation of UCREL-Hex, Lancaster-HEC and N8-Bede, and development of training materials and demonstrator Python scripts and notebooks
- Sustainable AI Data Compression Case Study: Profiling BOA on BEDE
- The impact of Digital Research Infrastructure on research at Durham University
- Understanding the Impact of Digital Research Infrastructure at Lancaster University