Los Alamos National Laboratory Physics Informed machine Learning for Turbulence Postdoc in Los Alamos, New Mexico
We are seeking exceptional candidates for several postdoctoral appointments in the area of Physics Informed Machine Learning to investigate and model turbulence in a number of applications of relevance to activities at Los Alamos National Laboratory. The postdoctoral appointees will be part of a new Laboratory Directed Research & Development project “MELT: MachinE Learning for Turbulence” involving scientists from several groups within the Theoretical division, Computational Physics division, Computer, Computational and Statistical Sciences division and the Center for Non-Linear Studies.
Turbulence is important in many astrophysical processes, geophysical flows and engineering applications, and modeling of these flows poses unique challenges due to complex nonlinear interactions that can involve, for example, effects of multiple physical processes, density differences between fluids, and large ranges of spatial and temporal scales. Machine learning has demonstrated to be an effective and promising approach to investigate and solve problems in many areas of physics, including turbulence.
What You Will Do_
The successful candidate will be expected to perform novel and original research in using machine learning tools to investigate turbulence, develop existing turbulence models, and/or develop new modeling strategies.
The initial appointment will be for two years, with a possible third year extension depending on performance and funding availability.
What You Need
Minimum Job Requirements:
Demonstrated record of achievements investigating and/or modeling turbulence in astrophysical, geophysical, climate or engineering applications is a plus.
Demonstrated record of achievements in machine learning is a plus.
Experience in high performance computing using traditional and advanced architectures is a plus.
Excellent written and oral communication skills.
Ability to work independently with minimal supervision.
Ability to collaborate effectively in a team environment.
Strong curiosity and motivation to learn, combine and apply new technical concepts in novel ways.
Education: A doctoral degree in physics, engineering, astrophysics, applied mathematics, computer science or related fields completed within the past five years or soon to be completed.
Position does not require a security clearance. Selected candidates will be subject to drug testing and other pre-employment background checks.
New-Employment Drug Test: The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing.
Candidates may be considered for a Director's Postdoc Fellowship and outstanding candidates may be considered for the prestigious Richard P. Feynman, Darleane Christian Hoffman, J. Robert Oppenheimer, or Frederick Reines Distinguished Postdoc Fellowships.
For general information go to Postdoc Program.
Los Alamos National Laboratory is an equal opportunity employer and supports a diverse and inclusive workforce. All employment practices are based on qualification and merit, without regards to race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation or preference, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, please send an email to email@example.com or call 1-505-665-4444 option 1.
Where You Will Work_
Located in northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. LANL enhances national security by ensuring the safety and reliability of the U.S. nuclear stockpile, developing technologies to reduce threats from weapons of mass destruction, and solving problems related to energy, environment, infrastructure, health, and global security concerns.
Location: Los Alamos, NM, US
Organization Name: T-4/Physics Of Condensed Matter & Complex Systems
Job Title: Physics Informed machine Learning for Turbulence Postdoc
Appointment Type: Postdoc
Req ID: IRC67822