Undergraduate Research Experience Scheme in Machine Learning Systems

Undergraduate Research Experience Scheme in Machine Learning Systems

Full-Time 24600 - 24600 £ / year (est.) No working from home possible
W

At a Glance

  • Tasks: Dive into real-world research in data science, AI, and more with hands-on projects.
  • Company: Join a leading research team at the University of Edinburgh.
  • Benefits: Paid internship, mentorship, and valuable experience to boost your CV.
  • Other info: Internships run from June to August 2026, with part-time options available.
  • Why this job: Explore cutting-edge research while developing skills for your future career.
  • Qualifications: Must be a Home student in a STEM degree, ideally in your 2nd or 3rd year.

The predicted salary is between 24600 - 24600 £ per year.

Take the next step in your learning journey and gain research experience with our paid Summer internship scheme. Are you an Undergraduate Home student curious about how research looks like in Informatics? The Informatics Undergraduate Research Experience Scheme offers keen students the opportunity to work alongside leading researchers on real-world challenges in data science, artificial intelligence, cybersecurity, computational systems, and biomedical innovation.

This immersive research experience allows you to apply your classroom knowledge to meaningful projects, develop advanced technical and analytical skills, and gain insight into postgraduate study and research careers. You will work on a defined project for up to 8 weeks while being embedded in a research team with dedicated supervision and mentorship.

Whether you’re already attracted to research, curious of what it looks like or keen on exploring future career paths and environments, this internship will develop your research skills, strengthen your CV, expand your professional network, and give you hands-on experience at the forefront of informatics research.

Eligibility

To be able to apply to this scheme, students must:

  • be eligible for Home fees status according to the UKRI rules;
  • be in their middle year(s) of undergraduate degree (2nd year, or 3rd year if on a 4-year degree, or 4th year if Integrated Master);
  • be studying a STEM degree;
  • have the right to work in the UK.

Priority will be given to students belonging to an under-represented group in the area of Machine Learning, Computing Systems and Biomedical Innovation research as detailed on the below websites.

Details

Internships run during the Summer period, between 15 June and 31 August 2026. Internships are between 4 and 8 weeks with part-time options available (minimum 50%). Interns will receive a short-term employment contract and paid at UoE grade 03 (i.e. £2,060.75 per month, full-time equivalent). Internships are 100% in-person only in the Informatics Forum, Edinburgh EH89AB. Interns will be allocated two supervisors and a PhD tutor.

Timeline
  • Applications open: 20 March 2026
  • Applications close: 20 April 2026, 23:59
  • Outcome emailed by: 18 May 2026
  • First internships start: 15 June 2026
  • Last internships finish: 31 August 2026
Available projects and Application process

For further info on the projects available for Summer 2026 and the application process, visit this link. For any questions, please email mlsystems-enquiries@inf.ed.ac.uk.

Undergraduate Research Experience Scheme in Machine Learning Systems employer: WiMLDS Inc

Join a leading research environment at the University of Edinburgh, where you will gain invaluable experience in the field of Informatics through our Undergraduate Research Experience Scheme. Our supportive work culture fosters collaboration and mentorship, providing you with the opportunity to develop your technical skills while working on impactful projects in data science and artificial intelligence. With a focus on professional growth and networking, this internship is an excellent stepping stone for your future career in research.

W

Contact Details:

WiMLDS Inc Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Undergraduate Research Experience Scheme in Machine Learning Systems

Tip Number 1

Network like a pro! Reach out to your professors, attend relevant events, and connect with fellow students. You never know who might have insider info on opportunities or can put in a good word for you.

Tip Number 2

Prepare for interviews by practising common questions and showcasing your passion for research. We recommend doing mock interviews with friends or using online resources to boost your confidence.

Tip Number 3

Don’t just apply; follow up! After submitting your application through our website, send a polite email to express your enthusiasm. It shows initiative and keeps you on their radar.

Tip Number 4

Tailor your approach! Research the projects available and align your skills and interests with them. This will help you stand out and show that you’re genuinely interested in what they do.

We think you need these skills to ace Undergraduate Research Experience Scheme in Machine Learning Systems

Research Skills
Data Science
Artificial Intelligence
Cybersecurity
Computational Systems
Biomedical Innovation
Analytical Skills

Some tips for your application 🫡

Show Your Passion:When writing your application, let your enthusiasm for research shine through! We want to see why you're excited about the opportunity and how it aligns with your studies in STEM. A genuine interest can really make your application stand out.

Tailor Your CV:Make sure your CV is tailored to highlight relevant skills and experiences that relate to the projects we offer. We’re looking for candidates who can apply their classroom knowledge, so don’t forget to mention any relevant coursework or projects!

Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured responses that get straight to the heart of what you want to say. Avoid fluff and focus on showcasing your skills and experiences that are most relevant to the internship.

Apply Through Our Website:Don’t forget to submit your application through our website! It’s the easiest way for us to keep track of your application and ensure it gets the attention it deserves. Plus, you’ll find all the info you need about the projects available there!

How to prepare for a job interview at WiMLDS Inc

Know Your Stuff

Make sure you brush up on the basics of machine learning and data science. Familiarise yourself with key concepts, recent advancements, and any relevant projects you've worked on. This will help you speak confidently about your knowledge and show your genuine interest in the field.

Show Your Passion for Research

During the interview, express your enthusiasm for research and how it aligns with your career goals. Share specific examples of what excites you about working in informatics and how this internship fits into your academic journey. This will demonstrate your commitment and eagerness to learn.

Prepare Questions

Have a few thoughtful questions ready to ask your interviewers. This could be about the projects you'll be working on, the team dynamics, or the mentorship process. Asking questions shows that you're engaged and serious about the opportunity, plus it gives you valuable insights into the role.

Practice Makes Perfect

Consider doing mock interviews with friends or using online resources. Practising your responses to common interview questions can help you articulate your thoughts clearly and reduce anxiety. The more comfortable you are speaking about your experiences, the better you'll perform in the actual interview.