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N8 CIR runs training and community events and provides resources for N8 researchers within three key themes: Digital Health, Digital Humanities, and Machine Learning.

Communities based on our digital health, digital humanities and machine learning research themes are growing. Click on your institution to find further information on the theme leads, research groups, resources, and local events that may be of interest.

A list of Lancaster researchers using the Bede supercomputer in their research.

A list of Leeds researchers using the Bede supercomputer in their research.

A list of Sheffield researchers using the Bede supercomputer in their research.

A list of Newcastle researchers using the Bede supercomputer in their research.

The N8 CIR is pleased to offer internships that allow students to develop their computational skills in a research environment.

As part of ongoing N8 funding for the N8 CIR, we are pleased to provide 8-week undergraduate internships which run during summer vacations. These projects are aimed at penultimate- or final-year undergraduate students and are designed to teach key skills and inspire them to consider digital Research Technical Professional (dRTP) careers.

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

Urbi is a final-year Mathematics and Statistics student with a particular interest in statistical modelling, machine learning, and health data science. In her degree she has worked on projects ranging from machine learning applied to EEG data for schizophrenia classification to statistical modelling of Arctic sea-ice dynamics. Through these experiences, she discovered she is especially drawn to health-related research because of its potential to make a tangible impact on people's lives.

We have secured funding from EPSRC to run internships from October to March 2026. There are two project styles on offer. The first is so students can develop their skills in computational research and discover more about careers in research software engineering. The second is for students to learn about the various ways that digital research infrastructure has benefited researchers across the N8 universities.

Toby is a Computer Science student who chose the subject because he enjoys applying mathematics to computing scenarios. After graduation he would like to go into the field of Machine Learning Research.

Shreyan is studying for a BSc Financial Mathematics because he has always been fascinated by how abstract mathematical ideas can be applied to solve real-world problems.

Hannah studies Computer Science and chose the subject because of a love of learning how computers work and tinkering with them, which developed into a coding hobby and then a degree.

James chose a degree in Biophysics after writing an essay about the interactions between human cells and viruses for an EPQ during his A-Levels. He enjoys investigating biological systems at the nanoscale in his studies, with a particular interest in molecular dynamics simulations, single-molecule optical-magnetic tweezers, and single-molecule FRET using Total Internal Reflection Fluorescence microscopy.

Sujith is studying for an MSc in Engineering Management. He chose this subject to combine his existing knowledge from his degree in Electronics & Communication Engineering and managerial experience. On completion of his masters degree he plans to apply my knowledge after my course to work in a profession that links engineering and management to work on project efficiency and effectiveness

Facundo is an Electronic Engineering with Music Technology Systems student, specialising in audio DSP, real-time systems, and music information retrieval. He chose his degree because it combines his background as a musician and composer with a strong mathematical and computer engineering education, which informs his ability to build tools that analyse, transform, and generate sound.

Bilegsaikhan is a Computer Science with a pathway in Data Science student at the University of Liverpool. He chose this path because he has always been drawn to problem solving and understanding how intelligent systems work. He's particularly interested in machine learning, research workflows and computational tools that support scientific discovery.

Zhiheng is studying for an MSc in Advanced Computer Science. He feels the structure allows him to further his general computer science education while specifically gaining in-depth knowledge in Artificial Intelligence. Upon completion of the programme, his goal is to pursue a PhD with a research focus on AI.

George is studying for an MSc in Biology because of an interest in genetics. After graduation he hopes to do a PhD in bioinformatics.

Aadityaa is studying Computer Science. He chose this subject because it gave him a way to explore the full realm of what’s possible with technology. He enjoys that you don't just study concepts but work on real world applications. He is especially interested in interdisciplinary areas like digital humanities, GIS, and machine learning, where computation intersects with other domains.

Grace is studying Medicine and chose the subject because she is interested in people and wanted a job where she could talk to people from all walks of life daily. She is interested in the political side of medicine and how the world we live in affects our health. When she graduates she hopes to work in clinical HIV or carry on in academia and complete a PhD in public health.

Isaac is a Psychology student at the university of Leeds. His goal is to complete a Clinical Psychology PhD and work in the NHS, expanding his knowledge and making a difference for as many people as possible.

Below are links to GitHub resources created by our interns. To learn more about the students and their projects please visit the internship homepages from the menu.

We funded 22 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.

Jenelle Bankas is a computer science student at the University of Leeds.

Maddison is studying English Language and Literature at the University of Leeds.

Mysha Zaman is a second-year undergraduate studying for a BSc Computer Science and Artificial Intelligence at the University of Leeds. She has a strong interest in mental health and is keen to better understand the challenges faced by individuals in mental health settings.

Zain gained a first class honours BSs in Computer Science form Newcastle University in 2025. He worked on the N8 CIR summer Internship before starting an MSc in Artificial Intelligence at the University of Edinburgh.

Daniela is studying Computer Science, with a year in industry, at Newcastle University.

Samuel graduated with a first class honours degree in Computer Science from Durham University. He completed this project following graduation.

Will Cook is a third year undergraduate studying computer science at Lancaster University. He is interested in technology and its practical application in the real world. Will enjoys solving problems in a logical and structured way.

Teleri is a Zoology student at Lancaster University.

Quinn is an archaeology undergraduate student at the University of York.

We received funding from EPSRC to support internships and increase interaction with the Bede Supercomputer within the N8 CIR community.

The N8 CIR hosts both online and in-person events throughout the year. Here you can find links to the most recent ones.

In June 2021 N8 CIR organised and hosted a series of seminars highlighting how researchers accessed and utilised UK Biobank data in their research.

Bede is used by researchers across the N8. Here you can find descriptions of projects at each institution.

The Bede User Group is an open forum that meets three times per year and is comprised of all users of Bede who wish to join.

The N8 CIR focusses on the methods, skills, and facilities that underpin the strategic research objectives of the N8 universities.

Read case studies from researchers using the Bede supercomputer.

Tony discusses the work of his research team, which focuses on computer vision and robotic sensing.

Marta discusses her use of GASCANS, the GPU version of the open-source Lattice Boltzmann method (LBM) code LUMA, to model turbulent air flows around a building.

Below are case studies from women who have been working in HPC across the N8 network.

Find out more about how the N8 CIR has helped Digital Health researchers in furthering their work.

Chris discusses GEM (Generalised Epidemic Modelling), a domain-specific modelling language for epidemics.

Helena talks about her work with Respire, a dashboard that captures, aggregates, and visualises healthcare data.

Richard discusses GetSet, a web app that enables researchers to construct sets of clinical codes from health databases for research.

Peter-John discusses SAVSNET, which collects veterinary clinical notes and questionnaire data from 15% of UK veterinary practices, alongside veterinary laboratory test results from the larger UK clinical laboratories, accounting for around 60% of all UK veterinary lab submissions.

Fiona Menger and Becky Osselton discuss the development of DAAWN (Digitised Assessment for Aphasia of Written Naming), which is being used for people with aphasia.

Find out more about how the N8 CIR has helped Digital Humanities researchers in furthering their work.

Thea shares information on a pilot research project that set out to explore how new generative AI programmes for visual art represent Indigenous peoples and cultures.

Mark and Stephen discuss the Condition and Risk Assessment Portal (CARE) project, which supports the management of open-air rock art, also known as cups and rings, in the UK, Ireland, and beyond.

Susan Fitzmaurice and Seth Mehl share the Linguistic DNA (LDNA) project, which has been exploring textual meaning by identifying lexical, semantic, and pragmatic patterns in over one billion words, across over 60,000 printed English documents from the 16th and 17th centuries.

Kate discusses the Digital Storytelling project, which was led by Newcastle University researcher, Dr Michael Richardson.

Dan and Alex talk about the use of computational modelling in supporting police services.

This page contains quick-read case studies outlining improvements to research data management practices within the N8 Research Partnership.

Read case studies from Research Infrastructure Engineers working in the N8.

These case studies offer insight into how RSEs work with researchers to overcome challenges and accelerate discovery.

Mark talks about the research the team at CEMAC is currently working on, which covers a broad range of environmental computational tasks.

Ed discusses the development of the Advanced Research Computing (ARC) group at Durham University.

On Friday 12 September, many of our summer interns came together at The National Centre for Early Music in York to showcase their work.

The N8 CIR is pleased to announce that we are now taking proposals from academics and digital research technical professionals for our undergraduate intern programme. Students will be invited to apply for them from 16 March, 2026.