CMIT Summer Research Internship 2026

(University of Liverpool & University of Strathclyde)

Deep Learning for Mathematical Imaging

Launched in 2019, the CMIT Summer Research Internship programme will run again this year following its continued success. The programme is open to undergraduate mathematics students, with particular encouragement for those in Years 1 and 2 (Scotland Years 1-3), although Year 3 students (Scotland Year 4) are also welcome. It is aimed at students interested in data science and optimisation, offering the opportunity to gain hands-on research experience using modern deep learning methods. Candidates should ideally have some Python or Matlab experience, some background in data science is a plus but not required. We arrange for several training courses at the start of the internship.

For info, in 2025, about 30 students started the Part 1 courses and 12 have finished a project in Part 2; the latter received a CMIT certificate. A short summary of the 2025 edition can be found here . The internship will run in the time between June and August 2026. For each participant, a minimum, but flexible, time commitment of 4 weeks is expected in addition to taking part in the online lectures (unless you are fluent with PyTorch and TensorFlow).

Application form (Word) and PDF form.

Interested candidates should submit the application form in any format (either Word or PDF), by 10th April (deadline extended to 1st May 2026, for University of Strathclyde students until 20th May 2026), by email
with the subject title CMIT internship application to andreas.alpers@liverpool.ac.uk.

Decisions on acceptance will be made within a week of the deadline. Interviews to decide who is working on which of the projects will be held after the first part, the online lectures, concluded.

Best wishes

Dr. Andreas Alpers (University of Liverpool) and Prof. Ke Chen (University of Strathclyde).