Blom, Philip Stephen
Institution: Los Alamos National Lab (LANL)
Open Until: 2021-09-30
Infrasound Staff Scientist
The SeismoAcoustics (SA) Team in LANL’s Geophysics Group (EES-17) is looking for a creative and innovative candidate to join our team and contribute to our infrasound research. The SA team conducts seismic and acoustic research for global and national security including multiple aspects of explosion monitoring for nuclear non-proliferation as well as various scientific and civil applications. We approach these research problems using combined physical and numerical analyses, multiple computational techniques, machine learning, high performance computing, data analytics, and multi-physics datasets.
As a staff scientist in the Geophysics Group, you will develop and execute research projects and tasks that improve seismoacoustic capabilities relevant to Defense Nuclear Non-proliferation Research and Development (DNN R&D) and similar national security applications. Your deliverables will include peer-reviewed publications, contribution to software and other research products, and internal reports to our DOE- and other government customers. You will work as part of a multidisciplinary team on topics that may include, but are not limited to the following:
- Development, use, and evaluation of infrasonic signal analysis methods including array processing, signal detection, event identification and localization, and source characterization.
- Development, use, and evaluation of numerical acoustic propagation tools for modeling local-, regional-, and global-scale propagation of infrasound.
- Quantification of propagation-related uncertainty for infrasonic signals due to the dynamic and sparsely sampled nature of the atmosphere and investigation of methods to reduce this uncertainty in various signal analysis applications.
- Theoretical and numerical investigations of seismoacoustic source physics for model development (e.g., models for blast waves produced by above-ground explosions, seismoacoustic signals generated by underground explosions, and aero-acoustic signals produced by supersonic sources).
Minimum Job Requirements:
- A record of publishing in peer-reviewed journals.
- Experience in acoustics, geophysics, statistics, machine learning, computational physics, or a similar field relevant to LANL infrasound R&D
- Ability to obtain a Q clearance, which typically requires U.S. citizenship. See DOE Order 472.2 for additional information.
Education/Experience: Position requires a Bachelor’s degree in Physics, Acoustics, Geophysics, Seismology, Mathematics, Data Science, or Computer Science; or other related degrees from an accredited college or university and 4 years of related experience. A PhD is preferred.
To apply, please submit an online application including your CV and a brief cover letter that outlines your background and expertise related to this position. Please contact Philip Blom (pblom at lanl.gov) if you have any questions about the positions or our research.
www.tinyurl.com/ku4ym3b3 (early career)
www.tinyurl.com/7j7hhjz9 (mid-career)
Open Until: 2021-09-30
Infrasound Staff Scientist
The SeismoAcoustics (SA) Team in LANL’s Geophysics Group (EES-17) is looking for a creative and innovative candidate to join our team and contribute to our infrasound research. The SA team conducts seismic and acoustic research for global and national security including multiple aspects of explosion monitoring for nuclear non-proliferation as well as various scientific and civil applications. We approach these research problems using combined physical and numerical analyses, multiple computational techniques, machine learning, high performance computing, data analytics, and multi-physics datasets.
As a staff scientist in the Geophysics Group, you will develop and execute research projects and tasks that improve seismoacoustic capabilities relevant to Defense Nuclear Non-proliferation Research and Development (DNN R&D) and similar national security applications. Your deliverables will include peer-reviewed publications, contribution to software and other research products, and internal reports to our DOE- and other government customers. You will work as part of a multidisciplinary team on topics that may include, but are not limited to the following:
- Development, use, and evaluation of infrasonic signal analysis methods including array processing, signal detection, event identification and localization, and source characterization.
- Development, use, and evaluation of numerical acoustic propagation tools for modeling local-, regional-, and global-scale propagation of infrasound.
- Quantification of propagation-related uncertainty for infrasonic signals due to the dynamic and sparsely sampled nature of the atmosphere and investigation of methods to reduce this uncertainty in various signal analysis applications.
- Theoretical and numerical investigations of seismoacoustic source physics for model development (e.g., models for blast waves produced by above-ground explosions, seismoacoustic signals generated by underground explosions, and aero-acoustic signals produced by supersonic sources).
Minimum Job Requirements:
- A record of publishing in peer-reviewed journals.
- Experience in acoustics, geophysics, statistics, machine learning, computational physics, or a similar field relevant to LANL infrasound R&D
- Ability to obtain a Q clearance, which typically requires U.S. citizenship. See DOE Order 472.2 for additional information.
Education/Experience: Position requires a Bachelor’s degree in Physics, Acoustics, Geophysics, Seismology, Mathematics, Data Science, or Computer Science; or other related degrees from an accredited college or university and 4 years of related experience. A PhD is preferred.
To apply, please submit an online application including your CV and a brief cover letter that outlines your background and expertise related to this position. Please contact Philip Blom (pblom at lanl.gov) if you have any questions about the positions or our research.
www.tinyurl.com/ku4ym3b3 (early career)
www.tinyurl.com/7j7hhjz9 (mid-career)
