Earthquakes, machine learning, real-time seismology and next-generation seismic networks
Open Until: 03/11/2019
Postdoctoral Fellow Positions Available
UC Berkeley Seismology Lab
*Earthquakes, machine learning, real-time seismology and next-generation
Postdoctoral fellow positions are available at the UC Berkeley Seismology
Lab to work on earthquake source problems. The group in particularly
interested in the application of machine learning in seismology, with a
focus on real-time seismology and the use of massive, diverse datasets
including the MyShake global smartphone seismic network.
MyShake is an effort to harness personal/private smartphones to detect and
study earthquake sources, while at the same time providing hazard reduction
strategies to the users in the form of earthquake alerts and education.
The MyShake network is expanding with a completely new version of the app
and a range of additional services coming spring 2019.
The postdoctoral fellow(s) would work on one or more problems in this
domain. These could include earthquake source studies ranging from
detection of small magnitude (M1.0) events beneath urban areas to imaging
of large magnitude ruptures. Also, real-time detection and characterization
of earthquakes including earthquake early warning, and rapid assessment of
earthquake impacts such as dense microzonation studies and building
The initial appointment would be for one year. Reappointment for a second
and possibly third year is typical but dependent on satisfactory progress.
For more information please contact Prof. Richard Allen [email@example.com]
(who will be at AGU) and/or Dr. Qingkai Kong [firstname.lastname@example.org].
Applications will be reviewed as they are received and continue until the
position(s) are filled. Applicants should send a letter detailing their
research interests and its relevance to this topic, and a CV to Prof Allen
and Dr Kong at the above email addresses.
Richard M. Allen
Director, Berkeley Seismological Laboratory
Class of 1954 Professor, Dept. Earth & Planetary Science
University of California, Berkeley -- http://rallen.berkeley.edu
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