Sticky
Dear doctoral students,
This is a good opportunity to improve your research computing and data science skills while generating some income as a GTA. We invite you to contribute to our research
computing and data science exemplar learning repository – ReCoDE.
If you’d like to share your experience, pitch an idea for developing a new exemplar. We are looking for fundamental disciplinary exemplars suitable for a wider audience. If selected, you will get paid as a GTA to do the work. Alternatively, study an exemplar (or two) and don’t forget to recommend it to your colleagues. This type of realistic scenario-based learning could be valuable for your project work, especially in the early stages of your degree.
GTA conditions:
- development of the exemplar code and inventive documentation
- highest GTA pay rate
- approximately 45 hours of engagement from early April to early July (hard deadline)
- regular meetings with teaching staff and research software engineers
- flexible hours (as long as they are evenly spread)
- it is possible to adapt an existing project
All details and a registration form are at https://imperialcollegelondon.github.io/ReCoDEhome/contribute/.
The next round of development will consist of four exemplars and start in April 2025.
The closing date for consideration is April 4th.
Your colleague who worked with us said about the experience:
“Participating in the ReCoDE project has been an enriching experience in my PhD journey. It allowed me to systematically structure and apply the knowledge I’ve gained, significantly
deepening my understanding in those areas. More importantly, it gave me the invaluable opportunity to plan and execute a project within a fixed timeline. This experience has enhanced my technical and organisational skills and prepared me for the demands of academic research, making it an integral part of my doctoral training.” (Antoni, PhD student, Computing)
Looking forward to hearing from you!
Best wishes,
Katerina Michalickova for the Research Computing and Data Science team at the Early Career Researcher Institute