Los Alamos National Laboratory Postdoctoral Research in Machine Learning and Climate Modeling in Los Alamos, New Mexico
What You Will Do
Los Alamos National Laboratory is a multidisciplinary research institution engaged in science and engineering on behalf of national security. The climate modeling effort at LANL, in part, develops and uses advanced multi-scale models for the study of Earth system processes. This two-year position is available immediately.
The postdoc researcher will work in a Department of Energy (DOE) program that supports fundamental, interdisciplinary research to achieve an improved understanding of climate processes and to leverage such understanding to improve predictive skill of models. Exploiting the capabilities of DOE’s High Performance Computing (HPC) systems in order to accelerate advances in climate science is a priority.
Sophisticated, architecture-aware, variable-resolution dynamical cores developed under this project permit direct numerical studies of phenomena that are poorly resolved in the current generation of climate models. For example, in the atmosphere, such processes include effects due to steep topography, convection and cloud processes, gravity waves, frontogenesis, and others, and in the ocean they include interaction of submesoscale eddies and internal waves with larger scale circulation and topography. While applicants can propose their own research ideas, general research themes include (a) investigating and characterizing linkages between such processes and larger scale dynamics and biases, (b) characterizing and understanding model uncertainties, (c) developing alternative approaches to climate predictability (AI4ESP.org) and parameterizing the effects of unresolved dynamics and physics by leveraging recent developments in statistical and machine learning and model reduction techniques, etc.
What You Need
Minimum Job Requirements:
The successful candidate will
have advanced knowledge of geophysical fluid dynamics or atmospheric dynamics or climate dynamics or dynamical systems theory
have an understanding of statistical and machine learning techniques
have demonstrated scientific excellence as evidenced by publications in refereed journals
be proficient in conducting simulation-based scientific studies using HPC platforms
Education: PhD in a related field completed within the past five years or soon to be completed.
Note to Applicants:
Ad will remain open till the position is filled. Your online application (IRC85838 at jobs.lanl.gov) must include, besides a CV, a cover letter that describes your research interest and explains how you meet the required skills for this position. Also arrange to have at least two letters of reference sent directly email@example.com.
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.
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 maternity and parental leave
§ Award-winning 401(k) (6% matching plus 3.5% annually)
§ Learning opportunities and tuition assistance
§ Flexible schedules and time off (paid sick, vacation, 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.
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 Fellowship and outstanding candidates may be considered for the prestigious Darleane Christian Hoffman, Richard P. Feynman, J. Robert Oppenheimer, or Frederick Reines Fellowships.
For general information go to Postdoc Program .
Equal Opportunity: 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 regard 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 firstname.lastname@example.org or call 1-505-665-4444 option 1.
Vacancy Name: IRC85838
Organization Name CCS-2/Computational Physics And Methods
Req ID: IRC85838