Subsurface Geoscience AI Postdoc: Seismic & Geodesy

Los Alamos National Security LLC; Los Alamos (NM); On-site; USD 60,000 - 78,000; Full time

Benefits offered by this job

Health insurance

Dental and vision insurance

Relocation assistance

Onsite gym and wellness

Job summary

Los Alamos National Laboratory in Los Alamos, NM seeks a postdoctoral research associate to develop multi-modal deep learning models for subsurface geoscience applications, including seismic and geodetic data.

The role involves testing state-of-the-art ML models and collaborating with LANL scientists and external academic partners. The appointment is two years with potential extension based on performance and funding; on-site in Los Alamos, NM.

Qualifications

• Ph.D. completed by start or within five years of completion.
• Experience in deep learning applied to subsurface geoscience.
• Strong publication record in relevant fields.
• Proficiency in Python and C/C++.
• Experience with HPC resources and supercomputing.
• Ability to communicate findings at conferences.
• Experience collaborating on interdisciplinary projects.
• Eligibility for Q clearance (U.S. citizenship).

Responsibilities

• Develop multi-modal deep learning models for subsurface geoscience.
• Test and validate state-of-the-art ML models on seismic/geodetic data.
• Collaborate with LANL scientists and external partners.

Skills

Deep learning

Publications

Python

C/C++

HPC

Communication

Interdisciplinary teams

US citizenship

Education

Ph.D. in STEM

Job description

Los Alamos National Laboratory in Los Alamos, NM seeks a postdoctoral research associate to develop multi-modal deep learning models for subsurface geoscience applications, including seismic and geodetic data.

The role involves testing state-of-the-art ML models and collaborating with LANL scientists and external academic partners. The appointment is two years with potential extension based on performance and funding; on-site in Los Alamos, NM.