Started in 2019, we will continue again this year the successful series of CMIT summer research internships. The internship is open for all Maths UG students (primarily year-1 and year-2 students) who are interested in data science and optimization problems and would like to gain hands-on research experience with cutting edge deep learning techniques. 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 2022, about 30 students started the Part 1 courses and 12 have finished a project in Part 2 (including two placed in City University of HK and one participant from USA); the latter received a CMIT certificate.
The internship will run in the time between June and August 2024. 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). Although the internship is unpaid the possibility exists for exceptional candidates to be nominated for the EPSRC Vacation Internship (Bursary fund) scheme or the City University of Hong Kong Summer Internship (Exchange) scheme.
Application form (Word) and PDF form
Interested candidates should submit the application form in any format (either Word or PDF),
before 10th March 2024,
by email
with the SUBJECT TITLE
"CMIT internship application" to
andreas.alpers@liverpool.ac.uk
However application for City University of Hong Kong Summer Internship (exchange) must be be submitted
before Tue 30th Jan 2023 to meet CityU deadline 1 Feb with acceptance announced on 31st Jan.
Decisions on acceptance will be made within a week of 10 March 2024. Interviews to decide who is working on which of the projects will be held after the first part, the (online / face 2 face) lectures, concluded.
Best wishes
Prof. Ke Chen and Dr. Andreas Alpers
2024 Part 1 Lectures Schedule (codes on Github to be advised later) 11-Jun Tues Prof Ke Chen k.chen@strath.ac.uk Python 14-Jun Fri Prof Ke Chen Python II 18-Jun Tues Mr Tao Du Tao@oxford Colab 21-Jun Fri Dr Liam Burrows lb2668@bath.ac.uk Denoising and Segmentation 25-Jun Tues Dr Liam Burrows Denoising and Segmentation II 28-Jun Fri Dr Hongrun Zhang Hongrun.Zhang@cruk.cam.ac.uk Attention and Transformers 02-Jul Tues Dr Andreas Alpers andreas.alpers@liverpool.ac.uk Reinforcement Learning (Imaging) 05-Jul Fri Dr Andreas Alpers Reinforcement Learning II 12-Jul Fri Dr George Koronaios gamarant@mathworks.com Matlab and Deep Learning 16-Jul Tues Dr Maciej Buze m.buze@hw.ac.uk Generative Adversarial Networks I 19-Jul Fri Dr Maciej Buze m.buze@hw.ac.uk Generative Adversarial Networks II 2024 Part 2 group projects for selected stduents only (based on homework completion)