Postdoctoral fellowship on earthquake early warning systems
UC Berkeley Seismology Lab
The real-time seismology group at the UC Berkeley Seismology Lab
http://earthquakes.berkeley.edu/ (BSL) has a postdoctoral fellowship
position available to work on the development of improved algorithms for
earthquake early warning in collaboration with Prof. Richard Allen
https://rallen.berkeley.edu/ and Dr. Angie Chung
http://www.angelaichung.com/. A primary goal of the fellowship is to
develop better rapid earthquake characterization algorithms to enhance the
performance of ShakeAlert--the US earthquake early warning system. This
could be achieved using new sources of data and/or new techniques including
the application of machine learning techniques in real time.
The BSL brings together geophysical network development and operation with
research into all aspects of earthquake processes, hazards and Earth
structure. The faculty, researchers, postdocs, students and engineering
staff work closely at the intersection of research and data collection to
make new discoveries relating to earthquake processes and develop new
approaches to reduce hazards. Our expanding real time data collection
networks include very broadband seismic instrumentation, boreholes,
geodetic observations, DAS and a global smartphone accelerometer network.
The position is available to start immediately, or when the successful
applicant is available. The initial appointment would be for one year.
Reappointment for a second and possibly third year is typical but dependent
on satisfactory progress.
Applications will be reviewed as they are received and continue until the
positions are filled. Applicants should send a letter detailing their
research interests and its relevance to the topics described above, and a
CV to Angie Chung (aichung<at>berkeley.edu). Questions about the position
should be sent to the same 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
UC Berkeley Seismology Lab
The real-time seismology group at the UC Berkeley Seismology Lab
http://earthquakes.berkeley.edu/ (BSL) has a postdoctoral fellowship
position available to work on the development of improved algorithms for
earthquake early warning in collaboration with Prof. Richard Allen
https://rallen.berkeley.edu/ and Dr. Angie Chung
http://www.angelaichung.com/. A primary goal of the fellowship is to
develop better rapid earthquake characterization algorithms to enhance the
performance of ShakeAlert--the US earthquake early warning system. This
could be achieved using new sources of data and/or new techniques including
the application of machine learning techniques in real time.
The BSL brings together geophysical network development and operation with
research into all aspects of earthquake processes, hazards and Earth
structure. The faculty, researchers, postdocs, students and engineering
staff work closely at the intersection of research and data collection to
make new discoveries relating to earthquake processes and develop new
approaches to reduce hazards. Our expanding real time data collection
networks include very broadband seismic instrumentation, boreholes,
geodetic observations, DAS and a global smartphone accelerometer network.
The position is available to start immediately, or when the successful
applicant is available. The initial appointment would be for one year.
Reappointment for a second and possibly third year is typical but dependent
on satisfactory progress.
Applications will be reviewed as they are received and continue until the
positions are filled. Applicants should send a letter detailing their
research interests and its relevance to the topics described above, and a
CV to Angie Chung (aichung<at>berkeley.edu). Questions about the position
should be sent to the same 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