Six Announcements from the SCEC Community
Date: 01/05/2024
Dear SCEC Community,
See the following announcements:
- PEER - LBNL Workshop on Simulated Ground Motions for the San Francisco Bay Area
- Research Fellow in Physics-Based Seismic Hazard Assessment - Earth Observatory of Singapore
- The Geological Society of America seeking nominations for the Woollard Award and the Stein Early Career Award
- SSA session on Learning Across Geological, Geophysical & Model-Derived Observations to Constrain Earthquake Behavior
- Carbon Sequestration Seismologist position at the California Geological Survey
- (Senior) Postdoc at U Bristol (UK) in Earthquake Forecasting and Machine Learning
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On behalf of Arben Pitarka, Lawrence Livermore National Laboratory
PEER - LBNL Workshop on Simulated Ground Motions for the San Francisco Bay Area
The Pacific Earthquake Engineering Research Center (PEER) and the Lawrence Berkeley National Laboratory (LBNL) are collaborating on the development of the first regional-scale, open-access simulated earthquake ground motion database for the San Francisco Bay Area. A hybrid community workshop to discuss technical aspects of regional scale simulations and the implementation of the database is scheduled for January 18-19, 2024 on the UC Berkeley campus.
The workshop will include presentations and discussion with technical experts and information on the planned database to inform both the research and infrastructure stakeholder communities. Although the workshop will also allow for virtual participation, in-person participation is encouraged. It will allow for more interaction during the panel session and networking breaks. Venue space is limited. Therefore, please register early to attend in person using the link below:
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On behalf of Luca Dal Zilio, Earth Observatory of Singapore
Research Fellow in Physics-Based Seismic Hazard Assessment - Earth Observatory of Singapore
The Earth Observatory of Singapore (EOS) invites applicants for a full-time postdoctoral scholarship to study and model earthquake processes and seismic hazards. This project aims to develop and apply physics-based computational simulations to characterize and understand the physics of earthquakes and large-scale tectonic processes in the Southeast Asian Ring of Fire. The selected candidate will join the Computational Geophysics Lab at EOS and be part of the "Integrating Volcano and Earthquake Science and Technology (InVEST) in Southeast Asia" project. This 5-year project investigates regional tectonics, earthquakes, and their cascading hazards and impacts in Singapore and Southeast Asia. We are hiring a significant number of research staff and students for this exciting opportunity. For more information and to apply, please visit the EOS recruitment site.
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On behalf of Donald F. Argus, Jet Propulsion Laboratory
The Geological Society of America seeking nominations for the Woollard Award and the Stein Early Career Award.
The Geological Society of America is seeking nominations for the Woollard Award and the Stein Early Career Award.
To Nominate for the GEORGE P. WOOLLARD AWARD:
The George P. Woollard Award is given annually by the Geophysics and Geodynamics Division to recognize individuals who have provided outstanding contributions to geology through the application of the principles and techniques of geophysics.
Please follow the link:
https://community.geosociety.org/geophysicsdivision/awards/woollard
To nominate for the SETH AND CAROL STEIN EARLY CAREER AWARD IN GEOPHYSICS AND GEODYNAMICS AWARD:
The Stein Early Career Award in Geophysics and Geodynamics is given in recognition of significant contributions to geology through the application of geophysics and geodynamics by a young scientist of outstanding ability.
Please follow the link:
https://community.geosociety.org/geophysicsdivision/awards/early-career-award-steins
Nominations are due Feb 1, 2024.
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On behalf of Elizabeth H. Madden, San Jose State University
Please consider submitting your abstract for the SSA Annual Meeting (due Wed., Jan. 10) to the following session:
Learning Across Geological, Geophysical & Model-Derived Observations to Constrain Earthquake Behavior
Conveners: Elizabeth Madden, Kim Blisniuk, Roland Burgmann
Invited Speaker: Josie Nevitt, USGS
Description: Earthquakes are dynamic events, but leave permanent markers of rock deformation and displacement. Geologic field studies identify these permanent markers, often used to determine the magnitude of slip in past earthquakes and combined with dating techniques to determine long-term rates over multiple earthquake cycles. Geophysical methods track ongoing plate motions and earthquake-cycle deformation captured by satellites using techniques involving GPS and InSAR. Analog and numerical models capture long-term geologic deformation and/or short-term dynamic behavior associated with earthquakes. However, in order to best advance both seismic hazard mitigation and earthquake science, the methods and results from these different lines of inquiry should be integrated and well understood by all. This is critical as we face the challenge of accounting for complex fault geometry and ruptures, off-fault damage, and distributed deformation, all of which have been revealed as common features in recent earthquakes. Modeling can fill gaps in observational data, target future field sites, and help determine the processes responsible for observed deformation features. Likewise, observational data is critical to characterizing earthquake behavior and provides necessary constraints on modeling input and output. This session aims to bring together scientists from these different lines of study to facilitate mutual understanding and collaboration. We encourage submissions that are methods- and/or results-based studies across structural geology, paleoseismology, Quaternary geology, geodesy, and modeling of fault behavior and earthquake dynamics.
Link to meeting page: https://meetings.seismosoc.org/submit/
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On behalf of Brad T. Gooch, California Geological Survey
Carbon Sequestration Seismologist position at the California Geological Survey
The California Geological Survey is now mandated to evaluate seismic risks to carbon sequestration projects in California (CA SB 905). The Carbon Sequestration Seismologist (Induced Seismicity Specialist) will help develop the seismic risk evaluation framework for the state, including the configuration of weak motion monitoring arrays, data recording, analysis, fault detection and modeling, and internal and external communication of natural and induced seismicity.
We are offering the hybrid teleworking position in the headquarters CGS office in Sacramento, CA.
Title: Carbon Sequestration Seismologist
Classification: ENGINEERING GEOLOGIST
Salary (per Month):
$6,175.00 - $7,363.00 A
$7,071.00 - $8,848.00 B
$8,702.00 - $10,898.00 C
$9,284.00 - $11,626.00 D (California PG or PGp registration is required for Range D)
Classification/Range Guidance:
https://www.calhr.ca.gov/state-hr-professionals/Pages/3756.aspx
(New hires to the state typically start at the beginning of the range.)
Final Filing Date: 01/08/2024
CalCareers Job Posting:
https://www.calcareers.ca.gov/CalHrPublic/Jobs/JobPosting.aspx?JobControlId=409392
Completely fill out the state's online application (STD Form 678), which is required (resume is optional). Online exam is needed to apply (it is really a self-reported experience survey), so please budget time for this in the application process. Also, don't forget to review the Duty Statement.
https://www.calcareers.ca.gov/JOBSGEN/9PB74.PDF (Exam instructions)
https://www.jobs.ca.gov/CalHRPublic/Login.aspx?ExamId=9PB74 (Exam link)
https://www.calcareers.ca.gov/CalHrPublic/FileDownload.aspx?aid=21844316&name=APPROVED_DutyStatement.pdf (Duty Statement)
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On behalf of Maximilian J. Werner, University of Bristol (United Kingdom)
(Senior) Postdoc at U Bristol (UK) in Earthquake Forecasting and Machine Learning
We are looking to hire a (potentially senior) postdoc in Earthquake Forecasting and Machine Learning. (Prior experience in Earthquake Forecasting or Machine Learning is welcome but not required). Please see below for details.
The role
Applications are invited for a 2-year (Senior) Postdoctoral Research Associate position in Earthquake Forecasting and Machine Learning to join Bristol’s Geophysics group in the School of Earth Sciences (ranked 2nd in the UK’s most recent Research Excellence Framework, REF2021). The group collaborates closely with the Institute of Statistical Sciences, the Jean Golding Institute for Data Science, and the Earthquake Engineering group, providing a broad intellectual environment.
What will you be doing?
The post-holder will conduct research to advance earthquake forecasting, for example via the use of machine learning, physics-based simulations or statistical models, depending on interests and prior experience. The role-holder may pursue a range of directions, including (but not limited to): machine-learning based forecasting of tectonic or human-induced seismicity (e.g. using neural point processes); basic seismological research into factors controlling earthquake predictability; or developing Bayesian forecast evaluation methods.
You should apply if
We welcome applications from a broad range of quantitative backgrounds, including applied and computational statistics, data science, geophysics, civil engineering, maths or physics. Prior experience in earthquake forecasting (or data science) is welcome but not required. The applicant will have strong research skills including scientific programming and creating research outputs. We seek excellent verbal and written communicators with strong team-working skills, who also aim to contribute positively to the wider community and research culture.
Additional information:
Application deadline via the website https://www.jobs.ac.uk/job/DEY660/ is 23:59 GMT on 17 January 2024.
For informal queries, please contact Max Werner, max.werner@bristol.ac.uk
This advert will close at 23:59 GMT on 17/01/2024. Interviews are anticipated to take place on 30/01/2024.
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