Hello Colleagues,
LLNL is looking for a full-time postdoc with experience in machine learning and seismology to aid in the development of real-time seismic catalog development and event classification. Please see the listing below with additional information
and the application link
here. Feel free to share with your networks!
Best,
Kayla
Kayla Kroll, PhD (she/her)
Lawrence Livermore National Laboratory
Seismology Deputy Group Leader
Atmospheric, Earth, and Energy Division
925-423-6454 | krollw...@llnl.gov
Seismology - Postdoctoral Researcher
- Location: On-site, Livermore, CA, USA
- Full-time
- Organization: Physical and Life Sciences
- Category: Postdoctoral/Fellowship
- Job Code 1: PDS.1 Post-Dr Research Staff 1
- Pre-Employment Drug Test: Required for external applicant(s) selected for this position (includes testing for use of marijuana)
- Security Clearance: None/Position does not require US citizenship (assignments longer than 179 days require a federal background investigation)
- Timeline: Review of Applications to begin September 15, 2024. Anticipated start date: November 1, 2024.
- Hiring manager: Kayla Kroll (krollw...@llnl.gov) –
email me with questions!
Job Description
We are excited to offer an opportunity for a Postdoctoral Researcher to research and develop on machine learning algorithms for local seismic event discrimination and induced seismicity
forecasting. This posting is within LLNL’s Seismology Group with close integration with LNNL’s Computational Geosciences Group. You will support the RECONNECT (Real-time inducEd seismiCity fOrecasts learNiNg sEismic CaTalogs) project in collaboration with
industrial partners. You will be expected to apply your expertise to design machine learning models to detect and discriminate seismic events in near real-time and utilize catalogs for induced seismicity forecasting to facilitate decision-making in application
areas such as geologic carbon storage and geothermal energy production. This position requires a background in seismology and machine learning and knowledge of computer programming and/or software development. The successful applicant will have access to LLNL's
extensive computer facilities and field data. You will interact with professional colleagues, mid-level management and sponsors across and outside of the Laboratory.
In this role you will
- Conduct original and independent research, in collaboration with other LLNL researchers to improve our understanding of earthquakes and other natural or anthropogenic signals contained in continuous seismic
waveforms and/or induced seismicity forecasting,
- Design and implement real-time machine learning approaches to classify local seismic events and reduce false detections in machine learning-based seismic detection and location pipelines
- Develop modern, flexible, and efficient visualization tools/packages for induced seismicity decision making.
- Present research at meetings, as well as write, illustrate, and publish results in peer reviewed journals.
- Work as part of a scientific team and interact with other researchers to design and implement research projects, while coordinating program requirements and deliverables for sponsors, including program reviews
and technical reports.
- Travel to assist with experiment execution, data collection, to interact with collaborators, sponsors and research customers and to present results at scientific meetings.
- Perform other duties as assigned.
Qualifications
- Creativity, ability, and knowledge in quantitative seismology and signal processing.
- Experience in machine learning applied to seismological applications.
- Proficiency in organizing and analyzing databases of waveforms, events, amplitudes, and arrivals for performing quantitative analyses.
- Experience with programming in Python and/or other programming languages (e.g. Java, C/C++, fortran) and experience with heterogeneous computing environments (Mac or PC, UNIX or LINUX platforms).
- Ability to interact effectively with a team of interdisciplinary scientists having different backgrounds.
- Proficient verbal and written communication skills necessary to effectively collaborate in a team environment and present, explain and publish technical information.
- Ability to travel internationally as needed.
Qualifications We Desire
- Strong background in machine learning applications related to seismology, specifically related to detection, phase picking, association, location (e.g. public algorithms including GAMMA, PhaseNet, EarthWorm,
HypoInverse, HypoDD, GrowClust, etc.,)
- Experience with principles of earthquake forecasting and seismic hazard analysis.
- Experience with object-oriented programming in Python, Java, and/or C++ .
- Familiarity with modern software development process (e.g. git, continuous integration for automated testing, etc.),
- Experience collaborating with industrial operators, service companies, and/or international colleagues.