N8 CIR Summer Internships 2026

As part of ongoing N8 funding for the N8 CIR, we have provided four 8-week undergraduate internships at each N8 partnership university which run during the summer vacation. These projects are aimed at penultimate- or final-year undergraduate students and are designed to introduce them to a research environment, teach them key skills and inspire them to consider digital Research Technical Professional (dRTP) careers.

The benefits of being part of the programme

Interns will have the chance to:

Enhance their coding and technical skills through practical applications
Gain firsthand experience of research methodologies and digital research professions.
Collaborate with leading academics and professionals.
Contribute to impactful projects with real-world applications.
Improve their presentation skills and discuss their projects with researchers from a variety of fields

Projects for 2026

The projects are outlined below and separate university pages will provide information about the student and their expectations before starting their research. These will be available before the end of June 2026.

Durham University

Deep Generalised Models	Nguyen Thien An
Establishing Machine Learning Protocols for Directed Synthesis and Reaction Optimisation	Francesca Farrand
Molecular Design of New Polymers for Surface Modification of Fabrics: A Multi-Scale Computer Simulation Approach	Kinga Kornas
MCMC Convergence and Tessellation Budget Sensitivity in the AddiVortes Model	Lewis Maltby

Lancaster University

Automated Pest Detection in Plants	Ernest Arinzechukwu Uch-Eze
Revisiting the Risk Elicitation Puzzle: A Machine Learning Approach	Anand Chavali
GEM: a Domain-Specific Modelling Language for Disease Outbreak Models	Crystal Leong
Toward better energy and marginal carbon inten-sity data for research and teaching	Luke Needle

University of Leeds

Creating a Historical Sentiment Lexicon Using Johnson’s Dictionary and HPC	Millie Cain
Population-Scale Biomechanics: Modelling of a Spinal Unit using HPC	Namira Chowdhury
Interpreting Readability Evaluation with Explainable AI	Owais Mahmood
Where did the English novel come from? Experimenting with computational approaches to investigate language in seventeenth-century prose fiction	Nell Wilkinson

University of Liverpool

ChannelGate: A Gating Network to Route Ion-Channel Data towards Optimal Deep-Learning Models	Abhiram Bainkrodu Bhat
Machine Learning–Enabled Techno-Economic Analysis of Flexible Nuclear Power for Enhanced Renewable Integration in the GB Power System	Luke Bennett
ChannelGate: A Gating Network to Route Ion-Channel Data towards Optimal Deep-Learning Models	Chengxu Jiang
AI-Guided Discovery of Large-Band-Gap Dielectric Materials for Next-Generation Power Grids	Shivansh Raj

The University of Manchester

How well can large language models perform literature reviews?	Abdullah Al Kalbani
Sustainable AI Data Compression Case Study: Profiling BOA on BEDE	Hanzila Hussain
The Language of Early Capitalism: A Computational Analysis	William Roper
Identification of sub-groups of chronic obstructive pulmonary diseasepatients using clustering analysis of small airway histopathology	Urbi Roychowdhury

Newcastle University

Explainable health data analytics with tsetlin machines	Jamie Jeays
Data Pre-processing and Generation for Real-World Neural Architecture Search Applications	James Kaye
Calculating Long-Time Quantum Trajectories Using Arbitrary Precision Floating Point Numbers on COMET	George Maniadakis
Deployed End-to-End Machine Learning on an Autonomous Racing Car	Shamik Srimany
From Simulation to AI: Physics-Informed Neural Networks for Chemical Kinetics in Turbulent Hydrogen Swirling Flames	Adam Wilson

University of Sheffield

AI for Smart Farming: Detecting and Identifying Cattle from Drone Images	Eyad Ahmed Abdelaziz Abdelnabi Mohamed
Improving the FLAME GPU User Experience through Examples	Lewie Flemming
GPU-Accelerated Domain Adaptation for Personalised Speech Recognition of Electrolarynx Voices	Echo Garratt
MobGap-Plus: An HPC-Powered ML Pipeline for Digital Mobility: Bridging Python & R-Shiny	Artem Vakhutinskiy

University of York

Parallel Hybrid Solving of Challenging Decision Problems	George Jopson
First-principles prediction of surface and nanocrystal properties of BaCd2P2 for optoelectronic applications	Noah Minto
Automated Biomechanical Pipelines for Personalized Diaphragmatic Assessment	Prithwish Mukherjee
High-Performance Proteomics at Scale: An R Package and Interactive Web Portal for Standardised Analysis	Anna Scott

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