Postdoctoral Appointee - Forward​/Inverse Electromagnetic Modeling, Onsite​/Hybrid

Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs:

• Challenging work with amazing impact that contributes to security, peace, and freedom worldwide
• Extraordinary co-workers
• Some of the best tools, equipment, and research facilities in the world
• Career advancement and enrichment opportunities
• Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home)
• Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance*

World-changing technologies. Life-changing careers. Learn more about Sandia at: http://www.sandia.gov

* These benefits vary by job classification.

We are seeking a hardworking and dedicated Postdoctoral Appointee to work at the interface between physics- and process based predictive models and large spectral/temporal datasets, specifically focused upon persistently collected streams of multi-sensor electromagnetic data. Forward modeling efforts will include predicting signal source terms, the processes governing them, and their subsequent propagation to deployed sensors. Advanced uncertainty quantification (UQ) and sensitivity analysis (SA) approaches will be used to characterize and calibrate computational models resulting in predictions with quantified uncertainty.

Real-time model calibration, via integrating robust calibration methods within a facility digital twin, will also be pursued.

On any given day, you may be called on to:

• Perform self-directed analysis on provided data sets
• Present/share results at team meetings with senior staff
• Represent Sandia efforts at multi-lab collaboration meetings
• Create publications and present results at conferences/workshops

Due to the nature of the work, the selected applicant must be able to work onsite 60% of the time. The selected applicant can work a combination of onsite and offsite work. The selected applicant must live within a reasonable distance for commuting to the assigned work location when necessary. This position is located in Livermore, CA, and the annual salary for this position is $112,200.

Anticipated travel requirements include 5 trips per year as well as local travel to other collaborator lab locations (LBNL, LLNL).

• PhD in Engineering, Chemistry, Physics, Applied Mathematics or related field
• Ability to obtain and maintain a DOE Q-level security clearance

• Proven experience in computational and electromagnetic modeling/simulation
• Expertise in machine learning techniques, including supervised and unsupervised learning, along with uncertainty quantification
• Strong mathematical and statistical foundation in linear algebra, inverse methods, and optimization
• High Performance Computing (HPC) experience, including parallelization and programming in Matlab, Fortran, Julia, and/or C/C++
• Proficiency in the Python data science ecosystem, including Num Py, Sci Py, Pandas, Jupyter, Anaconda, Scikit-Learn, and PyTorch/Tensor Flow
• Knowledge of modern programming practices, including clean coding, software carpentry, unit testing, version control, IDEs, and LLM-assisted coding

The Advanced Nuclear Fuel Cycle Technologies Department conducts applied research, experimental studies, and technology development to identify and integrate solutions to address technical and safety challenges associated with the use of nuclear materials in nuclear fuel cycles. Our work spans space applications, finite element analysis and computational fluid dynamic modeling of nuclear fuel cycle processes and facilities, commercial nuclear waste disposition, magnetometer-based sensing, computationally efficient modeling of electromagnetic signature propagation, and the rapid maturation of physics-based models across technical readiness levels.

This posting will be open for application submissions for a minimum of three (3) calendar days, including the 'posting date'. Sandia reserves the right to extend the posting date at any time.

Sandia is required by DOE to conduct a…