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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

11 March – 15 March 2024

The SENSE CDT is running a training course on ‘the Cryosphere and Solid Earth’ from 11 – 15 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	Overview of EO of the cryosphere Sea ice EO techniques Sea ice freeboard practical	Sea ice freeboard practical contd. Keynote: Advances in cryosphere research over the last 30 years
Tues	Surface elevation change from altimetry Ice Velocity theory & practical	Ice velocity practical contd Keynote talk: Advances in cryosphere research over the last 30 years, Andrew Fleming, BAS
Wed	Overview of EO for volcanoes and earthquakes InSAR for volcanoes and earthquakes Visible Earthquakes	Interseismic practical work Keynote talk: 30 years of advances in tectonics, Prof Andy Hooper
Thurs	Volcanoes & EO science talk Introduction to group work activity	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

4 March – 7 March 2024

The SENSE CDT is running a training course for ‘Machine Learning and AI’ from 4 – 7 March 2024, in person, at the University of Leeds. We are delighted to be able to offer places for up to 10 UK based PhD students 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. 

Schedule

	am	pm
Mon	Machine Learning AI techniques practical: classification of images, textural description	AI techniques practical: contd Keynote: New directions of AI, Prof David Hogg
Tues	Agent-based models Introduction to Urban Analytics Urban systems machine learning practical 1/2	Urban systems machine learning practical 2/2 “Dos and Don’ts of presenting”, Prof Jurgen Neuberg
Wed	The role of ATI and overview of LIDA Unsupervised classification of clouds lecture & practical	Unsupervised classification of clouds summary Keynote: Using science to influence policy, Dr Cat Scott
Thurs	Scientific Machine Learning Using machine learning in EO Alan Turing Institute lecture

Details

The course is free to successful applicants and overnight accommodation will be provided, Monday – Wednesday.  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

The SENSE CDT is running a training course for ‘Earth Observation of the Atmosphere’ from 26 February – 1 March 2024, 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

	Morning Sessions	Afternoon Sessions
Mon	– Welcome from the CDT Director – Introduction to the atmosphere and NCAS – EO of the atmosphere	– Satellite observations of clouds practical – MODIS/CLOUDSAT/calypso – Severe Weather over East Africa
Tues	– Overview of weather systems – Weather forecasting lecture & exercise	– Weather forecasting exercise – contd – Skills building activity – Imposter Phenomenon
Wed	– Tropical Cyclones – Measuring tropospheric ozone pollution and precursors from space – spectrometry theory – Sentinel-5p for monitoring air quality practical	– Sentinel-5p for monitoring air quality practical – Discovering the Ozone Hole
Thurs	– Keynote talk: “Things I learned from 3 decades of atmospheric research” Professor Ken Carslaw – Introduction to Group project work activity	– Group project work
Fri	– Group project 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