Pacific Northwest National Laboratory

Benton County, Washington

February 15, 2021

Open Until Filled

Job ID: 311566
Directorate: National Security
Division: Computing & Analytics
Group: Data Sciences and Analytics

Do you want to create a legacy of meaningful research for the greater good? Do you want to lead and contribute to work in support of an organization that addresses some of today’s most challenging problems that face our Nation? Do you want to work in a collaborative team-based environment? Then join us in the Data Sciences and Analytics Group at the Pacific Northwest National Laboratory (PNNL)!

For more than 50 years, PNNL has advanced the frontiers of science and engineering in the service of our nation and the world in the areas of energy, the environment and national security. PNNL is committed to advancing the state-of-the-art in artificial intelligence through applied machine learning and deep learning to support scientific discovery and our sponsors’ missions. Help us advance this frontier and protect our nation!

Data science at the Pacific Northwest National Laboratory (PNNL) addresses critical national and global issues by applying scientific and mathematical techniques to multiple data sources and communicating the finding to our sponsors and the academic community. Postdoctoral positions are available in the Data Sciences and Analytics Group at Pacific Northwest National Laboratory. At PNNL we seek to find solutions to national security problems using machine learning and deep learning. The appointment will be for one year, with the possibility of renewal.

We are looking for a motivated person with excellent skills in applied machine learning, deep learning or deep domain knowledge willing to grow into machine learning. Experience with time-series analysis, signal processing or radio-frequency domain is a plus. The candidate should have a PhD (or expect to have one for the starting date). Strong communication skills to successfully collaborate with the other members of the group, and a strong working knowledge of both oral and written English are required.

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