Los Alamos National Laboratory R&D Manager 3 (Computational Earth Science Deputy Group leader) in Los Alamos, New Mexico
What You Will Do
The Deputy Group Leader (DGL) will report to the Computational Earth Science (EES-16) Group Leader and will be responsible for supporting the Group Leader in scientific leadership and management as well as operation and administration of EES-16. The Computational Earth Science Group (EES-16) includes two teams, Subsurface Flow and Transport (SFT) and Applied Terrestrial Energy and Atmospheric Modeling (ATEAM). These teams combine basic and applied research to develop novel and integrated modeling and analysis platforms, including high performance modeling, to address practical problems for federal and industrial agencies. Projects within EES-16 address challenges in clean energy, carbon sequestration, sustainable unconventional fossil resource extraction, subsurface environmental remediation and management, surface and subsurface hydrology, geologic repositories, atmospheric and ecological processes, wildfire impacts, geothermal energy, and national security challenges.Applied math,data analytics and data integration methods for uncertainty quantification, quantitative decision analysis, decision support, and representation of complex physical processes are integral components to work in EES-16. Computational earth scientists in EES-16 work closely with geophysicists, geochemists, geologists, ecologists, geomechanics specialists, and other earth science specialists in other groups in EES division.
The EES-16 DGL is funded 50% for management activities and 50% for scientific and programmatic work. In their management role, the DGL will work closely with the Group Leader to advance the strategic and tactical planning of scientific programs, administer budgets and performance standards, manage facilities and operations, direct investments in program development, and work closely with staff to ensure proper mentoring, training, and career development. Workforce development and maintenance is essential for ensuring effective program execution and a vital future for EES-16. Therefore,forecasting staffing requirements, recruiting and retention of staff, adhering to action-oriented programs to address affirmative action placement goals, directing assignments, and monitoring performance are key activities the DGL will work with the GL on.
Fifty percent of the candidate’s time will be funded by joining existing technical projects or developing new projectsrelevant to EES-16where the candidate will play a technical or project leadership role.The successful candidate will also function as a key part of the Earth and Environmental Sciences Division Leadership Team, sharing responsibility for the objectives and mission of the Division, including cross-organizational collaboration and strategic planning, sound management practices, and operational excellence.
What You Need
Minimum Job Requirements:
Experiencerecruiting, mentoring, assessing the performance of, and supervising the technical work of scientific researchers.
Experienceimplementing institutional policies and procedures as they relate to personnel management, budget oversight, safety, and security.
Experiencebuilding collaborative projects and relationships across organizational boundaries.
Experienceproposing, developing, and sustaining research programs in areas relevant to computational earth science as listed in the first paragraph above.
To cover the non-management 50% of work scope, the ability to contribute technically to one or more group projects or if an internal candidate, the ability to transition an existing project into EES-16 work activities.
Demonstrated record of excellence and achievement in technical areas relevant to computational earth science as listed in the first paragraph above, evidenced by peer-reviewed publications, reports, seminars, briefings, and presentations.
Ability to obtain a Q clearance, which usually requires US citizenship. See DOE Order 472.2 for additional information.
Experience interfacing and managing relationships with external sponsoring organizations (DOE, NNSA, DoD, DHS, Industry, etc.).
Experience in conflict resolution and in dealing with human performance issues.
Experience with high-performance computing (HPC) or with projects that utilize HPC.
Experience with, and utilization of, uncertainty quantification, decision analysis, machine learning.
Experience conceiving,developing, leading, and executing substantial computational modeling and simulation project(s) to address science questions relevant to EES-16.
Education: Minimum requirement is a bachelor’s degree in science or engineering with work experience in management in a science or engineering field,or an equivalent combination of education and experience. A Ph.D. in earth science, applied mathematics, engineering, computer science, hydrology, geography, physics, or a related field is preferred.
Application: Interested applicants should submit a CV with complete list of publications or equivalent if applicable and cover letter addressing the required and desired criteria. For more information please contact Computational Earth Science Group Leader, Carl Gable (email@example.com) or Earth & Environmental Sciences Deputy Division Leader, Andy Wolfsberg ( firstname.lastname@example.org ).
Clearance: Q (Position will be cleared to this level). 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.
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.
Regular position: Term status Laboratory employees applying for regular-status positions are converted to regular status.
Internal Applicants: Please refer to Laboratory policy P701 for applicant eligibility.
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 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.
The Earth and Environmental Sciences (EES) Division at Los Alamos National Laboratory (LANL) employs about 120 scientists and 40 postdocs as well as many students, with expertise in various facets of Earth sciences. The successful candidate will join the interdisciplinary Computational Earth Science Group (EES-16) that includes more than 30 researchers and 14 postdocs. Our research includes active collaborations with industry, universities and other national laboratories.
The Computational Earth Science Group focuses on a broad array of energy, environmental, and national security challenges including:
Energy: carbon sequestration, geothermal energy, wind energy, unconventional oil & gas and hydraulic fracturing, energy-water nexus, nuclear energy, energy storage, energy infrastructure.
Environment: hydrogeology, surface hydrology, climate impacts and extreme events, wildland and urban fire, environmental management.
National & global security: non-proliferation, nuclear event detection, climate impacts & regional stability, nuclear waste management.
The Computational Earth Science Group addresses these challenges using multiple computational techniques and simulation tools including computational fluid dynamics (CFD), machine learning, reduced-order modeling, massively parallel high-performance computing (HPC), data analytics, physics-based models of the environment, hydrological models, GIScience/GIS, and operations research/optimization. The Group’s research includes both fundamental and applied science ranging from subsurface to atmospheric phenomena, including collaboration with experimentalists to measure unique subsurface, surface, and atmospheric signatures.
Our diverse workforce enjoys a collegial work environment focused on creative problem solving, where everyone’s opinions and ideas are considered. We are committed to work-life balance and personal/professional growth. Our creative and dedicated professionals are our greatest asset and we take pride in cultivating their talents, supporting their efforts, and enabling their success. Together we are advancing our national security mission.
The following comprehensive benefits and financial plans are offered for you and your eligible family members:
Compensation and Benefits
Flexible work schedules
Exercise facility free for staff use
Choice of comprehensive medical plans
Paid maternity leave, sick time
Paid parental leave
401k match (100% up to 6% + kicker)
Fully vested in 401k day one
Los Alamos National Laboratory in Los Alamos, NM enjoys excellent weather, clean air and outstanding public schools. This is a safe, low-crime, family-oriented community with frequent concerts and events as well as quick travel to many top ski resorts, scenic hiking trails, and mountain climbing. The short drive to work includes stunning views of the Valles Caldera as well as the Sangre de Cristo mountains. Many employees also live in the nearby state capital, Santa Fe, which is known for world-class restaurants, art galleries, and opera.
Contact Name Duran, Andria M
Vacancy Name: IRC79253
Organization Name EES-16 / Computational Earth Science
Minimum Salary 122200
Maximum Salary 205900
Req ID: IRC79253