The use of mathematical modelling is becoming increasingly important in all areas of science. This spring, the UKPN will continue our highly successful programme of workshops bringing early career polar scientists together to meet and learn about specific areas of the discipline.

This free workshop will focus on the use of modelling in the polar sciences. It will be held at the Department of Geography at the University of Sheffield on the 2nd, 3rd and 4th of April 2012. Following the format of previous successful UKPN workshops, we will be organising lectures and practical sessions that will cover a broad range of polar science-related subjects where mathematical modelling plays a role. These will to be led by a number of highly respected academics including Grant Bigg, Sheffield; Andrew Fowler, Oxford; Edward Hanna, Sheffield; Richard Hindmarsh, British Antarctic Survey; Richard Hodgkins, Loughborough; Pete Nienow, Edinburgh; Felix Ng, Sheffield and Ian Rutt, Swansea and more!

As well as lectures and practical sessions, the workshop will include sessions on the basics of modelling, poster sessions where participants will be encouraged to present their work (modelling-based or otherwise), careers discussions, and a group dinner where we will get a chance to properly meet each other and enjoy an evening out in Sheffield!

This workshop is aimed at early career polar scientists (Masters, PhD and Post-docs) who already make use of modelling or are interested in doing so, not just people who are already knowledgeable in the field. We aim to integrate the skills of students with modelling experience with those who wish to develop skills in this important aspect of research. It will be great to welcome a broad range of Polar Scientists to Sheffield in April!

Please keep an eye on the mailing list and here on the UKPN website for more details regarding when you can sign up!

For further details please contact:
Jonny Kingslake – University of Sheffield
Stephen Livingstone – University of Sheffield
Amir Levy – Keele University
and Iestyn Barr – Queen Mary University of London