Vacancy expired!
Company Description
Join us and make YOUR mark on the World!Are you interested in joining some of the brightest talent in the world to strengthen the United States' security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place.We are committed to a diverse and equitable workforce with an inclusive culture that values and celebrates the diversity of our people, talents, ideas, experiences, and perspectives. This is essential to innovation and creativity for continued success of the Laboratory's mission. Job Description We have an opening for aPostdoctoral Researcherto perform advanced research and development on the modeling of laser plasma interaction and control. This project will investigate the ability of machine learning models to predict the plasma response to spike trains of uneven duration and delay (STUD) pulses. You will work with theoretical and experimental plasma physicists, computational mathematicians, and data scientists, including collaborators external to the Laboratory. This position is in the Computing Directorate within the Center for Applied Scientific Computing (CASC) Division.In this role you will:- Conduct research and develop data-driven methods based on simulation data from models of varying fidelity.
- Develop simulation models and execute novel computational studies of plasma responses to STUD pulses.
- Investigate the interpretability and generalization properties of different classes of machine learning models.
- Collaborate and interact with multi-disciplinary research teams.
- Publish research results in external peer-reviewed scientific journals and participate in scientific conferences.
- Conduct independent (but complementary) research interests and interact with a broad spectrum of scientists internally and externally to define and carry out the research.
- Perform other duties as assigned.
- Ph.D. in applied mathematics, computational science, or a related field.
- Knowledge of numerical mathematics and machine learning techniques.
- Experience programming in C, Python and/or Julia.
- Experience applying machine learning techniques to data from physical systems; working knowledge of PyTorch or TensorFlow.
- Ability to perform independent research.
- Effective verbal and written communication skills necessary to interact with a multidisciplinary team, author technical and scientific reports and papers, and deliver technical presentations.
- Included in 2021 Best Places to Work by Glassdoor!
- Work for a premier innovative national Laboratory
- Comprehensive Benefits Package
- Flexible schedules (depending on project needs)
- Collaborative, creative, inclusive, and fun team environment
- Included in 2022Best Places to Work by Glassdoor!
- Work for a premier innovative national Laboratory
- Comprehensive Benefits Package
- Flexible schedules (depending on project needs)
- Collaborative, creative, inclusive, and fun team environment
Vacancy expired!