Computational Plasma Physics​/Machine Learning Postdoc

What You Will Do

The successful candidate will develop machine learning-enabled complexity reduction methods for multiscale plasma physics simulations. Research topics include reduced-order modeling, surrogate modeling, uncertainty quantification, and scalable computational algorithms for plasma applications.

This position is an exciting opportunity to join a highly collaborative team and work alongside leading experts from a wide range of disciplines. The project brings together statisticians, applied mathematicians, and physicists within T-5, while also fostering close collaborations with other groups at Los Alamos-including the Intelligence and Space Research Division and the Accelerator Operations and Technology Division. Beyond Los Alamos, the work connects with teams across the U.S. and around the world, offering broad opportunities to engage and contribute at the forefront of science.

• A Ph.D. in computational plasma physics, applied mathematics, computational science or a closely related field, completed within the past five years or soon to be completed
• Experience with Machine Learning for science applications
• Experience programing in Fortran, C++, Python
• Experience with numerical methods
• Demonstrated research ability in computational plasma physics and/or machine learning, as evidenced by publications, reports, presentations, awards, etc.
• Excellent communication skills (both oral and written)

• Ability to work independently as well as to work effectively as a part of a team in a multi-disciplinary environment and interact with people with a variety of expertise
• Willingness and flexibility to take initiative and pursue new research directions

The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management.

Locate The T-5 Applied Mathematics and Plasma Physics group of the Los Alamos National Laboratory has an opening for a postdoctoral position targeting the intersection of computational plasma physics and machine learning.

T-5 is an interdisciplinary group that combines expertise in applied mathematics, plasma physics, computational physics, and AI to solve critical national and international challenges ranging from energy resilience to safeguarding space.

• The review of the candidates will begin September 15th with the expectation that the selected candidate will start in the fall.
• This appointment is valid for two years with a possible third year extension.
• Minimum starting salary for a postdoctoral researcher is $97,000 and can increase with post-PhD experience and fellowships.
• US citizenship is not a requirement
• Strong candidates may be eligible for a Laboratory fellowship.

See https://(Use the "Apply for this Job" box below). for details.

For additional information, please contact Gian Luca Delzanno (delzanno).

Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China-including the special administrative regions of Hong Kong and Macau-as well as citizens of the Islamic Republic of Iran, the Democratic People's Republic of Korea (North Korea), and the Russian Federation, who are not Lawful Permanent Residents ("green card" holders) are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory.

Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes:

• PPO or High Deductible medical insurance with the same large nationwide network
• Dental and vision insurance
• Free basic life and disability insurance
• Paid childbirth and parental leave
• Award-winning 401(k) (6% matching plus 3.5% annually)
• Learning opportunities and tuition assistance
• Flexible schedules and time off (PTO and holidays)
• Onsite gyms and wellness programs
• Extensive relocation packages (outside a 50 mile radius)

Directive 206.2 - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2. Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A.

Position does not require a security clearance. Selected candidates will be subject to drug testing and other pre-employment background checks.

The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing. Although New Mexico and other states have legalized the use of…