Los Alamos National Laboratory Network and Spatial Optimization Postdoc in Los Alamos, New Mexico
Vacancy Name: IRC73524
Job Title Network and Spatial Optimization Postdoc
Location Los Alamos, NM, US
Organization Name EES-16/Computational Earth Science
What You Will Do
The Computational Earth Science Group ( https://www.lanl.gov/EES-16 ) in the Earth and Environmental Sciences ( https://ees.lanl.gov ) Division at Los Alamos National Laboratory ( https://www.lanl.gov/ ) has an immediate opening for a postdoctoral research associate in the field of network and spatial optimization .
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 and groundwater simulation, surface hydrology, climate impacts and extreme events, wildland and urban fire, environmental remediation.
National & global security: non-proliferation, nuclear event detection, climate impacts & regional stability, nuclear waste management.
The successful candidate will work as part of a small team developing and applying network and spatial optimization techniques to CO 2 capture and storage (CCS) problems. The team is developing the SimCCS software, an economic-engineering framework for helping scientists, stakeholders, and policy makers understand how CCS infrastructure could or should be deployed. More information on SimCCS can be found at:
Although the position does not require prior knowledge of CCS, the candidate should at least demonstrate an interest in understanding energy- and infrastructure-related applications. We welcome applications from a diverse range of backgrounds including operations research, GIS/GIScience, location modeling, and computer science.
What You Need
Minimum Job Requirements:
A strong understanding of network and spatial optimization techniques and problems.
Ability to code in at least one programming language such as Java ( SimCCS is written in Java), Python, Fortran, and MATLAB.
Willingness to support, develop, and lead peer-reviewed publications.
Knowledge of network/spatial optimization heuristics.
Knowledge of one or optimal solvers such as CPLEX, GUROBI, XPRESS, or open-source solvers.
Spatial data analysis techniques (e.g., GIS, geostatistics).
Ability to work in high-performance computing (HPC) environments.
Working knowledge of CCS including CO 2 capture, transport, and storage/sequestration.
Education and background: Candidates must have received a Ph.D. within the last five years (or pending) from an optimization-related field such as geography, computer science, engineering (civil, environmental, etc.), applied mathematics, management science, and earth science. Preferred candidates will have effective written and oral communication skills, willingness to publish peer-reviewed papers, and the ability to work in a diverse and multidisciplinary team. We anticipate the candidate to start in spring or summer 2019.
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 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 short cover letter (one page or less) that includes a short biography, research interests, and future career goals. Please contact Richard Middleton ( email@example.com ) for more information about SimCCS and the postdoctoral position.
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 firstname.lastname@example.org 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.
Appointment Type Postdoc
Req ID: IRC73524