The SENSE CDT will be running a Statistics and Machine Learning training course from 6th – 10th November 2023 which will be run in person at the University of Edinburgh. We have a small number of places available on this course, and we are delighted to invite 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 Learning Objectives of the training course include:
The SENSE Maths training will introduce students to the mathematical and theoretical “backbone” underlying the advanced statistical and machine-learning tools used in satellite data processing. The training will cover key concepts in statistical modelling and statistical learning from a mathematical perspective, giving students the grounding they need to take on such topics later in their studies. Topics include machine learning (classification, clustering and regression); Bayesian inference and error analysis; and time-series analysis (basic and advanced). Three in-class practicals will cover different techniques used in an Earth Observation context, and further EO applications will be explored within group projects at the end of the week.
This training will be led by Professor Victor Elvira from School of Mathematics, University of Edinburgh and supported by demonstrators. Training will be in the form of lectures, peer supported practical work and group work with PhD students from SENSE and other centres.
Successful applicants will not be charged for taking part in this training. SENSE will reimburse accommodation costs during the training (details to be given once an offer of a place is made) however attendees will be expected to make their own travel and accommodation arrangements to attend the training. SENSE does not cover the costs of travel to the training location or subsistence costs throughout the week. However, tea, coffee and refreshments will be provided during morning and afternoon breaks.
Students will be required to bring their own laptops and will be given guest access to the university network. Information will be given prior to the training on any software downloads required.
The training will take place on a full time basis (9am -5pm Monday to Friday) at the University of Edinburgh, Kings Buildings campus https://www.ed.ac.uk/maps/maps and students must attend all sessions.
We expect students applying to have a scientific background and a strong mathematics baseline. Students will be expected to familiarise themselves with basic statistical concepts prior to the training including: Descriptive statistics, Correlation, Simple regression, Gaussian Statistics, Hypothesis testing
Priority will be given to students in the earlier years of their programme who have the capacity to enhance their skills for their PhD research by completing this training.
Additional spaces for this training is funded by NERC enrichment funding therefore we seek to use this as an opportunity to widen our network of participating universities.
Applicants living outwith Edinburgh will be expected to arrange their own travel and accommodation to take part.
To apply for this training please complete the following google form https://forms.gle/B4PHd67GaWhfdWtu8 deadline for applications is 30th August 2023.
Successful applicants will be informed shortly afterwards.
For informal enquiries please contact firstname.lastname@example.org