N8CIR Internships 2025

We have funded 24 8-week-long summer internships to promote computational research to undergraduates across the N8 partnership that align with our three themes: Digital Health, Digital Humanities, and Machine Learning. They are varied in focus, and we look forward to learning about the research in our September Showcase.

DURHAM UNIVERSITY

Reduced order modelling of land subsidence	Arthur Chai
Artificial performance analysis intelligence	Ethan Burkinshaw
Visualising and exploring contextualized Arts and Humanities collections with their scholarly articles	Samuel Waugh

LANCASTER UNIVERSITY

gemlib: a Python library for epidemic modelling	Ben Hardy
Pipeline for fitting thermal responses of mosquito traits	Teleri Stone
Applying new methods for historical spelling normalisation to Early English books online	Will Cook

UNIVERSITY OF LEEDS

What do Large Language Models actually know?	Jenelle Bankas
From Modern Tweets to Victorian Broadsheets: Sentiment Analysis Software for Victorian Literature	Maddison Willetts
Wardsonar technical development	Mysha Zaman

UNIVERSITY OF LIVERPOOL

Music.ME	Al Aiham Ahmed Al Ma’Amari
Developing Transformer based Molecular Classification model	Hamzah Patel
AI tools for large-scale text mining PubMed	Zichen Yang

THE UNIVERSITY OF MANCHESTER

Sustaining computational research in the Humanities	Will Roper
Advanced data analysis in the Humanities	Manoj Manikandan
Association between modifiable lifestyle factors and onset of multiple long-term conditions, with a view to causality	Yufei Lu

NEWCASTLE UNIVERSITY

Advancing Predictive Pathway for Maternal Mental Health Recovery: Machine Learning, Model Integration, and Scalable Deployment of Recovery Trajectories.	Daniela Sanaicele Perez
Easing access to high-throughput GPUs for Deep Learning researchers	Tom Reece
Advancing Statistical and Mathematical Validation for Maternal Mental Health Recovery Pathway: Deep Learning, Evaluation, and Evidence-Based Insights	Zain Safda

UNIVERSITY OF SHEFFIELD

Improving data standardisation tools for global neuroscience collaboration	Ariana Williams
PolyChron: FAIR data for past excavation analysis	Shreyun Ghosh
AI-CARE: Generative and explainable AI	Tanishka Landge

UNIVERSITY OF YORK

AI quantum entangled PET - exploring a transformative future for healthcare	Kiran Pooni
Machine Learning gauge-dependent density functionals: A Challenge even in a Fixed Gauge	Leo Arnstein
Helping advance the history of agriculture through optimised ancient DNA analysis	Quinn Cuff

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