GTA Roles x 2: Atomic Learning Disciplinary Examples (apply by 18 May)
Two GTA roles for two months (late May 2026 to the end of July 2026)
This is a good opportunity to improve your research computing and data science skills while generating some income as a GTA. You will be working with the Research Computing and Data Science team at the Early Career Researcher Institute. We invite you to contribute to our new project, Atomic Learning.
The Atomic Learning project involves creating a large learning resource for research computing and data science, composed of small learning units and information about their dependencies. Using the Atomic Learning resource, educators and students will be able to easily construct customised learning paths to support their teaching and learning.
We are looking for two GTAs to develop new disciplinary coding examples for our Coursera course, Introduction to Python for Researchers. We are looking for two GTAs who can develop additional examples for 1) Life Sciences and Medicine, 2) Business, respectively. The new examples will be imported and tested in the Atomic Learning resource.
Tasks and conditions:
- reviewing the Coursera course (joining instructions)
- developing new labs for the course in 1) Life Sciences and Medicine, and 2) Business
- importing the examples into Atomic Learning
- working with RCDS teaching staff to fine-tune the presentation of the parallel examples in Atomic Learning.
- the highest GTA pay rate
- approximately 25 hours of engagement from late May 2026 to the end of July 2026 (hard deadline)
- regular meetings with teaching staff
- flexible hours (as long as they are evenly spread)
The application form is at: Two GTA roles for the Atomic Learning disciplinary examples – Fill in form.
The deadline is on May 18th 2026, end of the day.
If you have any questions, contact Katerina Michalickova, Head of RCDS.