18 March – 22 March 2024
The SENSE CDT is running a training course on ‘Big Data & Satellites’ from 18 – 22 March, in person, at the University of Leeds. We are delighted to be able to invite up to 10 UK based PhD students to apply to attend.
Successful applicants will join the NERC SENSE CDT PhD students on the training, providing an excellent opportunity for PhD students across the UK to network. The SENSE CDT is on satellite data in environmental science, from which most of the examples will be taken.
The teaching week is a mixture of theory followed by practical exercises, keynote speakers, and transferable skills development. At the end of the week, attendees are placed into groups and work on a group project to work, which will require them to apply the skills they have gained earlier in the week. The groups will present their work back to a small panel of experts in the field on the Friday.
Schedule
| Time | am | pm |
| Mon | The role of the tropics in carbon and water cycles Remote sensing tools to monitor land surface change & land vegetation functioning Advanced GEE | Advanced GEE – practical iCASP – translating research into applications |
| Tues | Jasmin Training | Jasmin Training |
| Wed | Weather and climate prediction for Africa: Confronting models with observational data Introduction to group work activity | Group work Who wants to be an Earth Explorer mission PI? |
| Thurs | Space Weather Group work | Group work |
| Fri | Group work | Group work presentations |
Details
The course is free to successful applicants and overnight accommodation will be provided, Monday – Thursday. However, attendees will need to book their own travel and cover their travel and subsistence costs whilst on the course.
Tea, coffee and refreshments will be provided during morning and afternoon breaks.
Students will be required to bring their own laptops. Information will be given prior to the training on any software downloads required.
The training will take place, at the University of Leeds, National Centre for Atmospheric Science, Fairbairn House, 71-75 Clarendon Rd, Woodhouse, Leeds LS2 9PH.
Attendees are expected to attend all sessions.
Pre-requisites
Applicants must be:
- in the first or second year of their PhD studies
- studying in an associated field, with a strong mathematical and computing background
- able to demonstrate that the training is relevant to their PhD research and is unavailable at their home institution.
How to apply
Applicants need to complete the following form https://forms.gle/vDbmE6gEzyZswPjn6
The deadline for applications is 1 January 2024 (23:59)
Successful applicants will be informed shortly afterwards.
For informal enquiries please contact eo_cdt@leeds.ac.uk