Research Associate in Earthquake, Statistical or Engineering Seismology

Bristol, United Kingdom
£33,797 - £35,845 per annum
Thursday, 10 October 2019
End of advertisement period
Sunday, 10 November 2019
Contract Type
Fixed Term, Permanent
Full Time

Division/School School of Earth Sciences
Contract type Open Ended
Working pattern Full time
Salary £33,797 - £35,845 per annum
Closing date for applications 10-Nov-2019

The School of Earth Sciences at the University of Bristol (UK) is seeking to recruit a Research Associate with funding for up to 3 years. This position will contribute to research in the geophysics group in the field of earthquake triggering, forecasting or time-dependent seismic hazard assessment. This 3-year post is linked to an EU-funded research project to increase society’s resilience to earthquakes using predictive and dynamic seismic hazard and risk assessment tools, including operational earthquake forecasting prototypes in Europe. The candidate may use a range of methods to make fundamental discoveries or applied advances in understanding the time-dependence of seismic hazards, drawing on observational, statistical, computational or engineering earthquake seismology.

The primary purpose of this position will be to advance the science of operational earthquake forecasting and time-dependent seismic hazard assessment. Contributions could include: developing statistical earthquake forecasting models that capture new insights into clustering; exploiting the recent high-resolution datasets to gain new insights into triggering processes, advancing physics-based stress transfer models, furthering probabilistic methods (machine learning, ensemble modelling), or exploring implications for time-dependent seismic hazard.

The successful applicant should have a strong background in seismology, engineering seismology or statistics to PhD level (or equivalent) or beyond, including – for example – modelling seismicity, earthquake forecasting, ground motion analysis and modelling, observational earthquake source seismology, machine learning or earthquake mechanics.

Expertise in statistical data analysis and/or scientific programming is essential. Previous experience of analysing or modelling earthquake triggering and clustering would be advantageous. The successful applicant will possess strong written and oral communication skills and be expected to present results at national and international conferences, and publishing findings in international journals.

For an informal discussion, please contact Dr Max Werner ( - 01173 315 014)

We welcome applications from all members of our community and are particularly encouraging those from diverse groups, such as members of the LGBT+ and BAME communities, to join us.