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Monday, February 23, 2026
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See the following announcements:
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- New Home for the SCEC Community Fault Model (CFM)
- Job Opportunity: Geophysical Data Processing Team Lead - Berkeley Seismological Lab
- Call for Papers – Special Issue on “New Advances in Engineering Seismology” (Applied Sciences, MDPI)
On behalf of Scott Marshall, Andreas Plesch, and John Shaw
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New Home for the SCEC Community Fault Model (CFM)
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The SCEC Community Fault Model (CFM) has a new online home at www.scec.org/science/cfm. Explore the latest technical developments in CFM version 7 and examine California’s active faults, from northern Mexico to the southern Cascadia subduction zone, using the interactive 3D Explorer Tool. The site also provides additional background and context for those interested in the history of the SCEC CFM project or in contributing to its ongoing development. Don't forget to sign up for email alerts through the CFM Earthquake-to-Fault Association Service. Within minutes of an earthquake in Southern California, researchers can receive an automated email that includes an interactive 3D view showing the earthquake’s location relative to nearby fault structures. Read more at CFM Fault Association Service Upgrade Adds Interactive 3D Fault Views and a New Fault Model.
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On behalf of Sierra Boyd, University of California, Berkeley
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Geophysical Data Processing Team Lead - Berkeley Seismological Lab
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The Berkeley Seismological Laboratory (BSL) conducts essential research on earthquakes and solid earth processes while collecting and delivering high quality geophysical data. It provides robust earthquake and hazard information including real-time alerts to the public, in collaboration with our partners. It also enables the broad consumption of earthquake information by everyone while educating and training students at all levels and from all backgrounds.
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BSL operates a large network of seismic and geodetic stations as well as DAS systems across northern California. These stations/systems stream data in real time to our data center on Campus, where data is processed, analyzed and archived for the purposes of earthquake monitoring, earthquake early warning and scientific research. The BSL also operates the MyShake application, which provides earthquake early warning alerts to the public in the West Coast of the US. This is a team supervisor position of the geophysical data processing and archiving team. It involves the development of advanced geophysical data processing software for earthquake monitoring, early warning and research applications.
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This position applies advanced software and team management skills to the development of complex geophysical data processing software for earthquake monitoring, early warning and research applications.
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The First Review Date for this job is February 27, 2026 - Open Until Filled
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The budgeted salary or hourly range that the University reasonably expects to pay for this position is $110,000 to $150,000 yearly ($9,166.67 to $12,500.00 monthly); the full salary range for this title is $101,600 to $189,800 yearly. This is a 100% FTE career position eligible for full benefits. This position is FLSA Exempt and paid monthly.
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On behalf of Afifa Imtiaz, ETH Zurich
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Call for Papers – Special Issue on “New Advances in Engineering Seismology” (Applied Sciences, MDPI)
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We are pleased to announce the Call for Papers for the Special Issue “New Advances in Engineering Seismology”, to be published in the journal Applied Sciences(MDPI).
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This Special Issue aims to highlight recent progress in engineering seismology, including advances in experimental, numerical, and data-driven approaches for understanding and modeling ground motion, site effects, and seismic risk. We welcome both methodological contributions and applied studies bridging seismology, engineering, and risk assessment.
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Discount will be considered for students and for special cases.
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- Dr. Afifa Imtiaz, Swiss Seismological Service, ETH Zurich
- Dr. Antonio Cavallaro, CNR ISPC – Institute of Heritage Science
Topics of interest include (but are not limited to):
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- Site characterization and local amplification
- Seismic microzonation and ground-motion modeling
- Distributed sensing (e.g., DAS) and ambient noise analysis
- Soil-structure interaction and nonlinear effects
- Machine learning and AI in seismic data analysis
- Urban-scale seismic risk and resilience
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All papers will undergo standard peer review. Applied Sciences is an open-access journal indexed in SCIE. We warmly invite your submissions and would be grateful if you could share this announcement with interested colleagues.
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