Skip to main content
2025 Internship showcase attendees

Internships

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


Our internship initiative presents a unique opportunity for students to participate in cutting-edge computational research projects during their undergraduate study period or following graduation. They are available at each of the N8 universities in three focus areas: machine learning, digital health, and digital humanities.

At the end of the internship period, the interns meet to showcase their research in the presence of academic and research software engineering supervisors from across the N8. This provides a very diverse audience and makes for some interesting conversations where the underlying methodologies may be similar, but the applications vary widely.

Intern Background

These projects are not exclusively for computer science undergraduates, and we welcome you to apply for an internship regardless of your degree course.

Benefits for Interns

Interns will have the chance to:​

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


Quotes from 2025 Interns

"Prior to beginning my project, I had no previous coding experience. However, over the course of the internship, I received invaluable guidance from the Research Computing team, which allowed me to successfully create a Python-based prototype sentiment analysis software."

"In addition to the technical skills gained, I've had the opportunity to collaborate with PhD students, offering an opportunity to engage in a research-oriented, team-based environment. This collaborative setup has not only enhanced my understanding of applied machine learning workflows but also helped me develop essential skills in communication, project coordination, and peer learning within a research setting."

"I feel like my skillset and technical ability have significantly widened; as a result, I feel much more rounded and versed to work with supervisors in a team."

"I have developed both individually and professionally, gaining coding skills, furthering my self-management abilities, and becoming better at responding to feedback and problem-solving."

"I had the opportunity to strengthen my software engineering skills, which was challenging to do in a short timeframe, but an experience I thoroughly enjoyed."

"It's made me consider being a researcher, whether that be in a university lab, a doctoral candidate, or in industry."

"I think my programming skills have developed massively. It has also made me feel more confident that I could apply for roles that are more related to research software engineering, and better know what aspects I enjoy. Coming from outside of this field, I do recognise that I have much more to learn, but feel that this internship has been a crucial stepping stone."

Find out more about recent projects


Return to article index