We seek a motivated researcher with a background in statistical or computational modelling of earthquake or slow slip events and a strong academic record to participate in a collaborative and international research programme. Research projects will utilize computational or statistical techniques to acquire a complete catalogue of slow slip events (SSEs) and seismic swarms on and around New Zealand’s Hikurangi subduction margin and investigate the occurrence patterns of these events. Further details and information on how to apply can be found here:

This research programme aims to use statistical modelling techniques and machine learning methods to catalogue SSEs and seismic swarms from geodetic and seismic data in the Hikurangi Subduction Zone, and model the relationships between seismic swarms and SSEs, with the aim to find out relationships between SSEs and great earthquakes, and thus develop tools to forecast SSEs and great earthquakes.

Research topics will include:
•    Detection of slow slip events and their occurrence patterns.
•    Earthquake detection and identification of seismic swarms.
•    Stochastic modelling of seismic swarms.

The successful applicants will be working with Associate Professor Ting Wang (University of Otago), Professor Mark Stirling (University of Otago), Dr Laura Wallace (GNS Science), Dr Calum Chamberlain (Victoria University of Wellington), Professor Mark Bebbington (Massey University), and Dr Matt Gerstenberger (GNS Science). 

This position will be based at the University of Otago, with collaborative visits to Victoria University of Wellington, University of Tokyo and the Institute of Statistical Mathematics in Japan.

Enquiries about this position should be directed to Associate Professor Ting Wang (ting.wang@otago.ac.nz).

Formal applications must be made on-line, at

https://otago.taleo.net/careersection/2/jobdetail.ftl?lang=en&job=2202157

The deadline for applications is Sunday 15 January 2023.