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Announcements from the SCEC Community

Date: 03/23/2022

Dear SCEC Community,

Please see below for the following announcements:

  • Post-doctoral position in signal processing / data science applied to marine seismic data, Ifremer, Plouzané, France
  • USGS Seeks Earthquake Hazards Research Proposals
  • SIGMA-2 Closing Symposium, May 31st 2022 - June 2nd 2022 / Avignon, France
  • 1st Announcement for the 2022 Crustal Deformation Modeling Workshop, Golden, CO
  • NASA ISRO Synthetic Aperture Radar (NISAR) Science Workshop, Pasadena, CA
  • 2022 NASA Solid Earth Team Meeting, La Jolla, CA
  • Session on Machine Learning for Understanding Earthquake Physics, ECEES, Bucharest, Romania

On behalf of Chastity Aiken, Ifremer Centre de Bretagne

Post-doctoral position in signal processing / data science applied to marine seismic data, Ifremer, Plouzané, France

Ifremer seeks a post-doctoral researcher to develop signal processing and machine learning techniques to classify and separate signals recorded by ocean bottom seismometers (OBS) to enhance earthquake waveforms and microseismic noise.  The position is part of the Agence Nationale de Recherche (ANR) BRUIT-FM project, coordinated by Wayne Crawford at IPGP. However, BRUIT-FM gathers experts in seismology, acoustics, oceanography, and signal processing from French research organizations or laboratories (IPGP, Ifremer, SHOM, UBO, ESIEE/IFPEN, GIPSA-Lab, ENSTA), one industrial partner (iXblue) developing the technology of a rotational seismometer, and international experts from GEOB3N (Spain) and LDEO (USA).

The candidate is expected to characterize main features of non-seismic signals recorded by OBSs in time, frequency, time-frequency/scale, and multi-sensor domains to define specific patterns to be isolated and removed. The targeted non-seismic signals are both of low and high frequency that may overlap with earthquake and microseism signals. Targeted signals to isolate/remove in the low frequency spectrum (< 1 Hz) include compliance noise generated by ocean waves and amplitude-varying noise induced by bottom currents and, in the high frequency spectrum (> 1 Hz), marine mammal vocalizations and ship noise. The candidate is expected to develop algorithms that can characterize, detect, and remove these types of non-seismic signals from OBS recordings.

The position is located at the Centre de Bretagne, Ifremer (Institut Français pour Recherche de l’Exploitation de la Mer) in Plouzané, France. The candidate will be supervised by Stéphan Ker (stephan.ker@ifremer.fr) and Laurent Duval (laurent.duval@ifpen.fr). A successful applicant is expected to have a PhD with strong interest in spectral analysis, adaptive filtering, and machine learning with proficient coding skills in C/C++, Python/Matlab, or a similar programming language. French language proficiency is not required for this position.

The appointment will be for 16 months. Interested persons are directed to contact Stéphan Ker (stephan.ker@ifremer.fr) with a single PDF with a cover letter, CV, and contact information for references. Deadline to apply is March 31, 2022. Expected start date is Spring 2022 but open to negotiation.

On behalf of Deborah McCray-Skinner, USGS:

USGS Seeks Earthquake Hazards Research Proposals

Application Deadline May 25, 2022

The U.S. Geological Survey (USGS) is currently soliciting project proposals for Fiscal Year (FY) 2023 grants on earthquake hazards science and is authorized to award up to $7 million. Interested researchers can apply online at GRANTS.GOV under funding Opportunity Number G23AS00249. 

Note that all proposals submitted to the FY23 open application period are now limited to 15 pages, maximum. Please review the application instructions found in the GRANTS.GOV solicitation for more information.

The grants offered through the USGS Earthquake Hazards Program (EHP) are a long-standing effort that contributes to the advancement of earthquake research. The Earthquake Hazards Program encourages submission of new ideas that will provide more timely and accurate earthquake information, better characterization of earthquake sources, and a reduction in uncertainty for earthquake-hazard and risk assessments. USGS also seeks proposals that will help to mitigate earthquake losses and better inform the public about earthquakes and earthquake safety, such as earthquake early warning or other scientific efforts that will lead to reduced risk. The complete list of FY2023 EHP science research priorities is included in the grants solicitation found on GRANTS.GOV as well as the EHP External Grants website.  

Every year, the USGS invites innovative earthquake research proposals from colleges and universities, state and local offices, non-profit organizations, private institutions, unaffiliated scientists, engineers, and foreign organizations. Past funded grants projects include:

  • Machine Learning and Global Navigation Satellite Systems displacements for earthquake early warning;
  • Improving quantification of induced earthquake sources;
  • Optimizing Machine Learning capabilities to detect earthquakes in Southeastern New Mexico;
  • Improving earthquake detection and picking in the Alaska-Aleutian Trench;
  • Constraining the timing of paleoseismic events in the Wasatch Fault Zone; and
  • Investigation of earthquake sources in Central and Eastern US using geophysical and paleoseismological data. 

A complete list of previously funded projects and reports can be found on the USGS EHP external research support website

Contact: Jill Franks, Associate Coordinator for External Research, Earthquake Hazards Program, jfranks@usgs.gov

On behalf of Diane Fischer Krauser, SIGMA-2

SIGMA-2 Closing Symposium, May 31st 2022 - June 2nd 2022 / Avignon, France

The Closing Symposium will celebrate the end of the SIGMA2 program, which supported 5 years of research on seismic hazard assessment. This conference will be the opportunity to promote scientific progress realized in the fields of tectonics, earthquake science, ground-motion modeling, earthquake engineering and in the due propagation of uncertainties for probabilistic approaches. These topics cover the majority of domains covered by SIGMA2 research actions. In addition, a significant part of the conference will be devoted to the drawing of perspectives aimed at improving the realism of future seismic hazard studies.

The Closing Symposium will consist of 4 technical sessions (keynote lectures) and of 2 scientific poster sessions. Two additional excursions will be organized on June 2nd, 2022 to offer participants the opportunity to visit the Cruas-Meysse Nuclear Power Plant and/or opened trenches in the 2019 Le Teil earthquake surface rupture!

We hope that this Symposium will take the conviviality and gratification of in-person conferences up again!

More information about the Symposium on our registration Portal.

Looking forward to meeting you in Avignon ... register using our registration portal here

On behalf of Brad Aagaard, USGS:

1st Announcement for the 2022 Crustal Deformation Modeling Workshop, Golden, CO

June 20-24, 2022, Colorado School of Mines, Golden, CO


The focus of this gathering will be computational models addressing crustal deformation in the following areas:

  • Earthquake cycle modeling with an emphasis on viscoelastic and plastic deformation, evolution of fault systems, fault maturity, and fault zone structure;
  • Inverse problems, inference, and data assimilation with an emphasis on time-dependent problems;
  • Mechanical interaction of fluids, solids, and faulting; and
  • Synergistic challenges associated with crustal deformation from non-earthquake loads, such as solid and ocean tides and hydrological load, crustal dynamics beyond the Earth, cryosphere mechanics, and fracture mechanics.

The workshop will be held June 20-24, 2022, in Golden, Colorado on the campus of the Colorado School of Mines. The first two days of the workshop will be tutorials related to PyLith (an open-source, community code for modeling crustal deformation with a focus on earthquake faulting) followed by three days of science talks, discussions, and informal tutorials and collaboration.

We will provide reimbursement for a portion of the travel costs incurred for registered attendees with official appointments at U.S. institutions.

We anticipate posting a detailed agenda and opening registration in early April.


    Computational Infrastructure for Geodynamics: https://geodynamics.org/
    PyLith: https://geodynamics.org/resources/pylith
    Agenda from 2019 workshop: https://geodynamics.org/events/details/9/agenda

On behalf of Susan Owen, JPL:

NASA ISRO Synthetic Aperture Radar (NISAR) Science Workshop, Pasadena, CA

The NASA ISRO Synthetic Aperture Radar (NISAR) Science Workshop will be an in-person 2.5-day event organized by NASA and UNAVCO to bring together the science community in Solid Earth, Ecosystems, Cryosphere, Hydrosphere disciplines, and other areas of Earth science that will benefit from the NISAR mission. 

The workshop will: 

  • Inform the community about NISAR, its planned science data products and related funding opportunities. 
  • Provide a forum for building collaborations and discuss future directions for SAR data analysis, science and applications. 
  • Discuss available data analysis tools, computing resources and training opportunities. 

Who should attend: Scientists that are interested in using NISAR data after it launches in late 2023 for their science and are interested in finding out more about observations that NISAR will provide.  Scientists currently using SAR data for Earth Science that are interested in engaging with others on recent advances in their field.  

The workshop will be held August 30-September 1, 2022 at the Pasadena Convention Center, Pasadena, California. Further information regarding location, agenda, travel and other important facts, can be found via our workshop website: http://nisarscience2022.org

Registration is open through July 15, and available here:  https://forms.gle/igbZTvCBkH1PiXhCA


On behalf of Ben Philips, NASA

2022 NASA Solid Earth Team Meeting, La Jolla, CA

Dear Earth Surface and Interior Community,

NASA plans to hold the 2022 Solid Earth Team Meeting on November 7-10, 2022, at the Scripps Seaside Forum in La Jolla, CA.

Please help inform the plan for the meeting and fill out the attendee Poll found here by April 8, 2022.

Your responses will help us to determine how we can make this meeting more impactful for the community, and identify those interested in attending. We encourage attendance by all interested members of the community (students and postgraduate scientists alike) in order to promote scientific and programmatic interactions to advance current and future Earth surface and interior related research. 

Thank you for your time and we hope to see you at the Seaside Forum in November.


Ben Phillips
Gerald Bawden
Kevin Reath
Earth Surface & Interior Focus Area, Earth Science Division, NASA Headquarters

On Behalf of Paul Allan Johnson, LANL

Session on Machine Learning for Understanding Earthquake Physics, ECEES, Bucharest, Romania

This session will be a great opportunity to connect and discuss the application of ML to earthquake physics. The deadline for abstract submissions has been extended to 31 March (and we are hoping it will be further extended based on current world events).   

Chris Marone (La Sapienza Università di Roma and Penn State University)
Elisa Tinti (La Sapienza Università di Roma) 
Paul Johnson (Los Alamos National Lab, Santa Fe, NM) 

Session: Machine learning for understanding earthquake physics

Conference: 3rd European Conference on Earthquake Engineering & Seismology (Bucharest, Sept. 4-9, 2022)

Submission Deadline:  31 March 2022

Submission Instructions: https://3ecees.ro/calls/#submission

This session will focus on the use of Machine Learning (ML) to improve understanding of the physics of earthquakes. We solicit abstracts from all areas of seismology using ML to illuminate earthquake processes at all length scales. We invite in particular works that illuminate the physics behind and transferability to Earth of recent studies showing that acoustic emissions can be used to predict characteristics of laboratory earthquakes and identify precursors to labquakes. These studies show that ML methods can predict fault zone shear stress, labquake stress drop, time-to-failure and other aspects of lab earthquake failure. 

Our aim is to bring together ML-based works on a broad range of issues in seismology including: 1) the physics of earthquake nucleation and rupture, 2) the mechanisms that make it possible to predict lab earthquakes using ML, 3) the physical processes responsible for precursors to natural and lab earthquakes, and 4) the range of conditions for which foreshocks and precursors to earthquake failure can be identified. We encourage seismic studies using data from natural faults, lab results and numerical approaches to understand earthquake physics. 

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