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: https://tinyurl.com/2h4xtp7c
Candidates are encouraged to contact the research advisors to discuss project ideas. Further information on Mendenhall fellowship qualifications is here: https://on.doi.gov/3edWmm5
Applications are due November 1, 2023. This is a remote job opportunity.
To apply for this job please visit tinyurl.com.