Los Alamos National Laboratory Geospatial Hydrology Postdoctoral Researcher in Los Alamos, New Mexico
What You Will Do
Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in science and engineering on behalf of national security. The successful candidate will work in the Earth and Environmental Sciences Division, and will be primarily engaged with the Atmosphere, Climate, and Ecosystem Sciences and Computational Earth Science Teams. Team members will support and enrich your research and professional goals through their outstanding breadth and depth of expertise in their respective fields.
Your research will include:
Developing and validating a global river network model by fusing various geospatial datasets
Using the model to improve flood risk predictions at large scales
Working with the National Water Model for Alaskan river basins for testing and improving cold region simulations
A successful research project will require you to blend knowledge of hydrological processes and “big” geospatial data through integration and communication with hydrologists, earth scientists, and computational experts.
While the research goals for these projects have been established, there is significant flexibility in the way these goals can be achieved. A self-motivated, creative postdoc will find this environment conducive to intellectual and professional growth. A comprehensive knowledge of the novel components of the research activities will not be necessary as on-the-job training will support the candidate’s success through a collaborative team atmosphere.
We seek applications from diverse candidates with expertise in any of the following research areas: modeling streamflow, river fluxes and/or flood risk, geospatial data assimilation and analysis, watershed science, or computer science. The successful candidate will work with a multi-disciplinary team of observational and computational hydrologists, geomorphologists, and computer scientists in effort to develop a global model of river connectivity, implement a flow routing scheme, and validate the model with observed streamflow data. The candidate will also work with an already-implemented National Water Model to test snow and permafrost parameterizations and use available observed and remotely sensed data to evaluate and improve model performance. This research will involve accessing, manipulating, and fusing various remote-sensing-derived products, and the candidate will have access to ample high-performance computing resources.
What You Need
Minimum Job Requirements:
A basic understanding of hydrological processes
Proficiency in a programming language (Python highly desirable)
Experience with geospatial data (raster and/or vector types)
An ability to work and communicate effectively in a diverse team environment
Education/Experience :A PhD in earth science, computer science, civil engineering, climate science, geography, or closely related fields is highly preferred, although exceptional candidates with an MS and relevant experience will also be considered.
experience with Python
hydrological modeling and/or flow routing
remote sensing and/or big datasets or database management skills
publications in refereed journals and a history of successful research in collaborative team environments
Note to Applicants:
Send a curriculum vitae, digitized copies of transcripts, names and contact information of three references, and a one-page cover letter detailing qualifications and research interests to Jon Schwenk at email@example.com and Katrina Bennett at firstname.lastname@example.org . Please entitle the subject line “River Network and Streamflow Postdoc Search.” Applications will be reviewed as received. We expect to fill a postdoc position by December 2020. Additional questions may be directed to Jon and Katrina at the provided email addresses above.
Candidates may be considered for a Director's Fellowship and outstanding candidates may be considered for the prestigious Marie Curie, Richard P. Feynman, or J. Robert Oppenheimer. For general information related to the Postdoc Program, salary, and benefits go to: http://www.lanl.gov/careers/career-options/postdoctoral-research/index.php. Salary ranges can be found at:https://www.lanl.gov/careers/career-options/postdoctoral-research/postdoc-program/postdoc-salary-guidelines.php.
Where You Will Work
Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. 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)
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 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 email@example.com or call 1-505-665-4444 option 1.
Vacancy Name: IRC82257
Organization Name EES-14/Earth System Observations
Req ID: IRC82257