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Funded PhD Studentship: "Modelling seismicity as a spatio-temporal point process using inlabru”

posted 13 Jan 2019, 21:43 by Havard Rue
Funded PhD Studentship: "Modelling seismicity as a spatio-temporal point process using inlabru”
Host: University of Edinburgh, GeoSciences & Mathematics

BACKGROUND: This PhD is funded through the ‘RISE’ project as part of
the Horizon 2020 program: Towards operational forecasting of
earthquakes and early warning capacity for more resilient societies.
Operational earthquake forecasting is the development of time evolving
forecasts to quantify and communicate changing seismic hazard, for
example during aftershock sequences. This project will adapt a fully
Bayesian, cutting-edge spatio-temporal modeling approach to model
time-dependent seismicity. This approach, called inlabru
(http://inlabru.org), has been developed primarily on ecological
datasets but it is now ripe for application to earthquake seismicity.
Your work will contribute to the success of this €8M project which
contains 24 collaborating institutions across 12 countries.

Full details: https://www.findaphd.com/phds/project/modelling-seismicity-as-a-spatio-temporal-point-process-using-inlabru/?p105726
For more information contact: mark.naylor@ed.ac.uk
Application Deadline: 8th February

SUPERVISORY TEAM
Dr Mark Naylor is a physicist and statistical seismologist with
expertise in natural hazards, statistical seismology and uncertainty.
Prof Finn Lindgren is Chair of Statistics at the University of
Edinburgh and one of the main theoretical and software developers
behind inlabru.
Prof Ian Main is Chair of seismology and Rock physics at the
University of Edinburgh and has a long-term interest in the population
dynamics of earthquakes and its application in earthquake hazard and
operational forecasting.

REQUIREMENTS: This project would suit a statistician, mathematician,
physicist, geophysicist or similar with good numeracy and
computational skills. You will be interested in the development of
cutting edge spatio-temporal modelling theory and implementation
within software to address a real-world problem. This requires a
balance of mathematical and coding competencies.

Funding Notes
This project has full funding for UK and EU students.

If international students are interested - Edinburgh also has a
competitive fund to cover the difference to make up the international
fees (deadline 23rd January, please contact mark.naylor@ed.ac.uk for
more information).
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