USGS Mendenhall Post-doctoral Opportunity: Improving earthquake forecasting with machine learning

Website USGS_Quakes USGS

Science for a Changing World

The USGS Mendenhall program has a post-doctoral opportunity (#22-36) for recent graduates in computer science, geophysics, seismology, statistics, or related fields.

The goal of this opportunity is to develop machine-learning approaches to improve earthquake forecasting capabilities – namely, to better predict the rate, locations, and sizes of earthquakes, and to supplement or potentially replace the empirical epidemic-type aftershock sequence (ETAS) models currently being used by the USGS for operational earthquake forecasting.  In their proposal, applicants should describe methods and architectures amenable to extracting relevant features from catalogs of earthquake times and locations, and to generating stochastic representations of future activity.

More information on this fellowship opportunity is here:

Candidates are encouraged to contact the research advisors to discuss project ideas. Further information on Mendenhall fellowship qualifications is here:

Applications are due November 1, 2023. This is a remote job opportunity.

To apply for this job please visit