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

Benefits

• Worklife Balance
• Flexible Work Schedules
• Generous Paid Time Off
• Exceptional 401K Savings Plan
• Medical/Dental/Vision Insurance
• Wellness Programs
• On-site Amenities
• Vacation Buy Plan
• Telecommuting Arrangements*
• *with management approval

Life in California

Resume / Application Best Practices

• At Sandia, recruiters manually review resumes on each job posting instead of using a resume screening software program
• Review the Sandia Resume Writing Best Practices Sheet before beginning your application
• By following the best practices outlined, this ensures that recruiters can accurately determine your qualifications for the position

Requirements

• 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 NumPy, SciPy, Pandas, Jupyter, Anaconda, Scikit-Learn, and PyTorch/TensorFlow
• Knowledge of modern programming practices, including clean coding, software carpentry, unit testing, version control, IDEs, and LLM-assisted coding