Responsibilities

The Earth System Modeling Group at PNNL seeks a postdoctoral research associate to improve representation of urban evolution, or change in urban extent and properties over time, in Earth system models (ESMs). The successful candidate will perform global-scale analyses of satellite observations and satellite-derived datasets to generate ensembles of temporally varying biophysical parameters for urban areas, both historical and for future scenarios. These datasets will then be incorporated into DOE's Energy Exascale Earth System Model (E3SM) to run sensitivity experiments on the role of urban parameter inputs on local to regional meteorological states across scales. Expertise in statistical analysis (particularly machine learning methods) relevant to time-series forecasting, remote sensing, and previous experience running E3SM or other ESMs is desired.

Qualifications

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:

• Ph.D. degree in Earth Sciences, Atmospheric Sciences, Meteorology, Physics, Environmental Science, Environment Engineering, Statistics, or a related field.
• Familiarity with high-performance computing, Earth system modeling, and statistical analysis.
• Experience with computer languages usually used for modeling and analysis (Fortran, Python, NCL, C++, etc.).
• Demonstrated expertise in urban-scale modeling and analysis.
• Demonstrated expertise in satellite remote sensing, especially using Google Earth Engine.
• Experience with computer languages used for geospatial modeling and analysis (GDAL, Python, JavaScript for Earth Engine, R, etc.).
• Demonstrated experience in using Earth system models like CESM and/or E3SM.
• Demonstrated experience in modifying the source code of models to develop new capability.
• Demonstrated experience in advanced statistical analysis and/or machine learning techniques.
• Knowledge of novel data-model integration techniques.
• Ability to think critically and pursue original ideas independently.

Hazardous Working Conditions/Environment

Not applicable.

Testing Designated Position

This is not a Testing Designated Position (TDP).

Rockstar Rewards

Employees and their families are offered medical insurance, dental insurance, vision insurance, robust telehealth care options, several mental health benefits, free wellness coaching, health savings account, flexible spending accounts, basic life insurance, disability insurance*, employee assistance program, business travel insurance, tuition assistance, relocation, backup childcare, legal benefits, supplemental parental bonding leave, surrogacy and adoption assistance, and fertility support. Employees are automatically enrolled in our company-funded pension plan* and may enroll in our 401 (k) savings plan with company match*. Employees may accrue up to 120 vacation hours per year and may receive ten paid holidays per year.

* Research Associates excluded.

**All benefits are dependent upon eligibility.

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Notice to Applicants

PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual's relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules.

As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position.

Minimum Salary

USD $69,000.00/Yr.
Maximum Salary

USD $119,100.00/Yr.