PNNL Careers

Post Masters Research Associate - Data Analyst

RICHLAND, WA
Post-Graduates and Post-Docs


Job Description

Job ID: 307645
Full/Part Time: Full-Time
Regular/Temporary: Temporary

Job Description

The candidate for this position will support a variety of data analysis and machine learning projects/tasks. The incumbent will develop and apply machine learning, uncertainty quantification, and extreme events analysis, in the areas of earth, energy, and environmental systems. The primary scope of this position includes harvesting, management, processing, and analysis of a variety types of data, as well as algorithm development and assisting with journal article and report writing.
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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.
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Minimum Qualifications

Candidates must have received a Master’s degree within the past 24 months or within the next 8 months from an accredited college or university. Minimum overall GPA of 3.0 required.
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Preferred Qualifications

Candidates must have received a Master in applied statistics, computer science, civil and environmental engineering, power system engineering, or a related field.

The candidate must have good programming skills and be proficient in at least one programming language (R, Python, Matlab, Java, or C++) and preferably experience with analysis and visualization tools (e.g., Matlab, Tecplot, ArcGIS, Photoshop, or AutoCAD). The successful candidate should have good communication skills and ability to collaborate effectively in a teaming environment. Previous experience with large environmental and/or power system datasets will be a plus.

Master in Applied Statistics, Computer Science, Civil and Environmental Engineering, Power System Engineering, or related fields.

3.5 GPA or higher is preferred
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Organization and Job ID

Job ID: 307645
Directorate: Energy and Environment
Division: Earth Systems Science
Group: Hydrology
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