The Computational Earth Science Group in the Earth and Environmental Sciences (EES) Division at Los Alamos National Laboratory has an immediate opening for a creative and resourceful postdoc candidate with substantial knowledge of hydrology models, particularly in conjunction with understanding of changing snow and streamflow impacts, extreme events, and perturbations affecting land surfaces, such as vegetation disturbances, vegetation stress and forest mortality. The project involves a combination of computer modeling and simulation, integrating observations, including remotely sensed data, and high-performance computing.
The candidate will work as part of a research team conducting work in watersheds across the US, including Alaska. Successful applicants will have hydrologic modeling and analytical science expertise in one (or more) of three core areas of the project:
· Watershed modeling, with the intent of understanding interactions and feedbacks between climate and key physical processes driving hydro-ecologic systems at the local to regional scale.
· Impact of climate on land surface hydro-ecology, including snow, rain and temperature drought, vegetation disturbances, and other perturbations events that influence snow accumulation, snow melt, and streamflow responses.
· Approaches to understanding and validating model processes and observations at various scales, including techniques to integrate ground-based and remotely sensed observations of snow and vegetation into models.
What You Need
· Strong computational and hydro-ecological modeling skills.
· Existing knowledge of hydro-ecological process modeling at local-to-regional scales.
· Existing knowledge of climate effects, including snow and rain processes.
· Coding proficiency in languages such as Julia, Python, R, MATLAB, C/C++, Fortran, and Java.
· Excellent communication, writing, and oral presentation skills.
Desired Skills:
· Knowledge of remote sensing of snow and vegetation.
· Knowledge of statistical approaches to understanding changing hydro-ecology, including extreme events, uncertainty, and sensitivity analysis.
· Understanding and ability to work in high-performance computing (HPC) environments.
· Experience in big-data processing and analyses.
· A publication and presentation record including first-authored and collaborative efforts.
Education and background: Candidates must have received a Ph.D. within the last five years (or pending) from a field related to the job requirements, or water resource engineering. Candidates must have demonstrated skills and background in topics detailed in minimum job requirements, and preferred candidates will possess one or more of the desired skills, along with the ability to work in a diverse and dynamic team.
Salary: Salaries start at $74,000 (http://www.lanl.gov/careers/career-options/postdoctoral-research/postdoc-program/postdoc-salary-guidelines.php). Candidates may be considered for a Director's Fellowship and outstanding candidates may be considered for the prestigious J. Robert Oppenheimer, Richard P. Feynman, Frederick Reines, or Darleane Christian Hoffman Fellowships. For general information about LANL’s postdoctoral program, and more, please refer to http://www.lanl.gov/careers/career-options/postdoctoral-research/postdoc-program/index.php.
Notes to applicants: To apply, please submit an online application including your résumé and a cover letter that includes a short research statement (not to exceed two page). The cover letter should include a short biography (2-3 lines), research interests, and future career goals. Research interests in your cover letter should be aligned with the job requirements. Please contact Katrina Bennett at kbennett@lanl.gov for more information.
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.
Additional Details:
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.
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 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 applyhelp@lanl.gov or call 1-505-665-4444 option 1.
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