PNNL Careers

Post Doctorate RA - Remote Sensing Data Analysis


Job Description

Job ID: 307963
Full/Part Time: Full-Time
Regular/Temporary: Temporary

Job Description

This position is for a post-doctoral researcher to work within the radar engineering and operations team at PNNL developing machine learning methods for determining data quality from a suite of research radars. The applicant will work to design and implement machine learning methods to process large archives of historical weather data to determine a data quality metric for the instrumentation. These algorithms will be used to guide users of the facility and will have a real impact on a major DOE user facility. The applicant will be expected to prepare results for publication in a major journal.

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

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

¿ Required qualification
Experience with programming in a scientific setting using Python or Matlab or C/C++.
Familiarity with data processing and analysis techniques in applied sciences such as engineering, physics, and meteorology.
Knowledge of software development process.
Programming in Linux environment.
Experience with Machine Learning or Data Science

¿ Desired Qualifications
Experience with Python or Matlab
Experience with unsupervised machine learning
Experience with weather radar data
Experience with HPC programming

Organization and Job ID

Job ID: 307963
Directorate: Earth & Biological Sciences
Division: Atmospher Sci's & Global Chg
Group: Advanced Study & Development