Wildfire Smoke Modeling Postdoc
**MEMBERS ONLY**SIGN UP NOW***.
What You Will Do
This is a two-year Postdoctoral Research Associate position in the Computational Earth Science Group (EES-16; ~~~/EES-16) in the Earth and Environmental Sciences Division at **MEMBERS ONLY**SIGN UP NOW***. (LANL). There is the potential extension to a third year depending on available funding and performance. The primary purpose of this position is to develop and implement smoke generation models in multiple coupled fire/atmosphere models with various spatiotemporal resolutions and fidelities. The successful candidate will contribute to analysis of near-field coupled fire/atmosphere influences on downwind smoke concentrations in the context of wildfires, prescribed fires, and large urban conflagrations using HIGRAD/FIRETEC and refinement of reduced-order smoke models.
Candidates with the following backgrounds are strongly encouraged to apply: modeling soot formation from biomass and other materials, developing reduced -order or probabilistic models for fast-running or under-resolved modeling contexts, computational fluid dynamics (CFD) modeling skills, high-performance computing (HPC) experience, and computational and numerical model development experience. The successful candidate will be expected to publish results in pee- reviewed literature and present work at national and international conferences.
This position is on a fast track and interested applicants are encouraged to apply immediately. It is expected that interviews of top candidates will begin within 3â€“4 weeks of the job ad posting.
What You Need
Minimum Job Requirements:
The successful candidate will have demonstrated:
Demonstrated strong background in soot generation modeling, using high-fidelity models to develop reduced-order or lower-resolution probabilistic models, fluid mechanics, combustion;
Demonstrated strong computational and numerical modeling skills in fluid-mechanics with experience of developing and applying CFD models on HPC platforms;
A demonstrated record of peer-reviewed publications;
Proven ability to meet schedules and deliverables for research projects;
Demonstrated proficiency in programming languages (e.g. C, C , Fortran, Python, etc.);
Ability to obtain a Q clearance, which usually requires US citizenship. See DOE Order 472.2 for additional information.
Preference will be given to candidates who also have demonstrated:
Demonstrated familiarity with modeling of large-scale fires;
Demonstrated proficiency in performing data analysis and data visualization using tools (e.g. Paraview, VisIt);
Demonstrated experience working with a multi-disciplinary team.
Education: Candidates must have completed all Ph.D. requirements by commencement of the appointment and must be within five years of completion of the Ph.D.), specializing in combustion, chemical engineering, mechanical engineering, chemistry, applied physics, applied mathematics, or a closely related field.
Notes to Applicants: For specific questions please contact Rod Linn (~~~). Applications will be reviewed as received with the intent of choosing a successful applicant by 31st July, 2018.
Q Clearance: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements* for access to classified matter.
*Eligibility requirements: To obtain a clearance, an individual must be at least 18 years of age; U.S. citizenship is required except in very limited circumstances. See DOE Order 472.2 for additional information.
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.
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.
**MEMBERS ONLY**SIGN UP NOW***. 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 ~~~ or call ~~~ option 1.
Where You Will Work
Located in northern New Mexico, **MEMBERS ONLY**SIGN UP NOW***. (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.
Los Alamos, NM, US
EES-16/Computational Earth Science
Wildfire Smoke Modeling Postdoc