Post Doc Research Associate - Coastal Inland Flood Modeler

Employer
Pacific Northwest National Laboratory
Location
Little Washington, Ohio, US
Salary
Competitive
Posted
Jun 16, 2021
Closes
Jul 03, 2021
Ref
2195501466
Discipline
Energy
Employment Type
Full time
Salary Type
Salary
Organization and Job ID
Job ID: 312125
Directorate: Energy and Environment
Division: Earth Systems Science
Group: Earth Systems Predictability & Resiliency
Job Description
We are seeking candidates who can provide impactful contributions to the development and advancement of modeling and simulation techniques to increase our understanding of the impacts of extreme flood events. Floods are the most prevalent natural disaster, and these events are increasing in both frequency and severity. The successful candidate will join a multidisciplinary team of engineers, computational scientists, and data scientists who are focused on developing new, integrated coastal modeling tools to quantify flood risk, and change in flood risk, within coastal urban environments. The successful candidate will be responsible for conceiving and developing unique approaches to simulate flood risk, in addition to understanding uncertainties associated with this characterization. Successful candidates must have a demonstrated rectord of peer-reviewed publications within this area of research.
Candidates must have received a PhD in mechanical engineering, civil or environmental engineering, hydrology, or a related field. The candindate must have demonstrated experience in simulation of fluid mechanics, hydrodynamics, or related. The candidate must have demonstrated experience in numerical model development. Preference will be given to candidates with experience in data-driven modeling approaches, in addition to strong statistical experience, including uncertainty characterization. In addition, the candidate must have a strong record of peer-reviewed publications.
Minimum Qualifications
Candidates must have received a PhD within the past five years (60 months) or within the next 8 months from an accredited college or university.
Preferred Qualifications
- PhD in mechanical engineering, civil or environmental engineering, hydrology, or a related field.
- Advanced knowledge in numerical methods and solutions and demonstrated experience of implementation of methods for high performance computing
- Demonstrated knowledge of advance optimization techniques, statistics, and uncertainty characterization and quantification techniques
- Programming mastery (e.g., Java, C, Python, CUDA)
Equal Employment Opportunity
Battelle Memorial Institute (BMI) at Pacific Northwest National Laboratory (PNNL) is an Affirmative Action/Equal Opportunity Employer and supports diversity in the workplace. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All BMI staff must be able to demonstrate the legal right to work in the United States. BMI is an E-Verify employer. Learn more at jobs.pnnl.gov.
If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via https://jobs.pnnl.gov/help.stm
Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a "country of risk" without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment.
Directorate: Energy & Environment
Job Category: Post-Graduates and Post-Docs
Group: Earth Syst Predicta & Resil
Opening Date: 2021-06-14
Closing Date: 2021-06-30

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