Doc Research Associate - Data Science

2 Months ago

Richland, Washington, United States

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Job Description

Pacific Northwest National Laboratory is seeking a Post Doc Research Associate in Data Science to support interdisciplinary projects focused on energy, earth, and environmental systems. Responsibilities include analyzing large datasets, developing algorithms, and collaborating with teams. Candidates should have a recent PhD, strong programming skills, and experience in machine learning and data analytics. The position is based in Richland, WA and is not remote.
Position: Post Doc Research Associate - Data Science
Overview

PNNL's Earth System Science Division enables energy independence and national security through leadership in earth systems science, engineering, and decision analytics. Our work focuses on solving complex problems in the dynamic Earth system. Our interdisciplinary scientists steward a breadth of efforts that encompass research on plants to groundwater science and coastal zones, to storm prediction.

Our research focuses on understanding and mitigating operational risks at the interface of human and natural environments. This includes predicting the impacts of natural hazards and extreme climate events on Earth and human systems, along with the impacts of wildfire, flooding, sea level rise and storm surges. We focus on understanding and mitigating environmental contamination and increasing the resiliency, security and sustainability of water resources.

We provide geointelligence through advanced sensing and data analytics to forecast complex system behaviors and operational performance to understand human-natural systems. This includes informed decision making and enhanced community resilience, advanced monitoring, and remote sensing of environmental systems for energy and national security. It also includes developing energy systems, including geothermal energy, sustainable oil and gas production, storage and utilization, along with carbon sequestration.

Driven by a “science-to-solutions” philosophy, we provide scientific leadership and technology to enhance national security, mitigate natural hazards and optimize disaster response. In the critical areas of energy, environment, intelligence, and defense, we deliver insights and decision support through the development of tools and solutions.
Responsibilities

The candidate for this position will actively participate in interdisciplinary projects to develop and deploy technologies including analysis and visualization of large energy, earth, and environmental system data sets, and collaborate with interdisciplinary teams. The primary scope of this position includes tasks relevant to technical literature review, large-scale data and image processing and analysis, advanced algorithm development, advanced remoting sensing, experimental design, and system optimization approaches.
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:
• Strong hands-on skills and experience with deep learning and machine learning;
• Strong publication record;
• Proficient programming skills in at least one programming language (MATLAB, Python, R, or C++);
• Experience with data analytics and visualization tools (e.g., MATLAB; Tecplot; Photoshop; AutoCAD);
• Experience with digital signal processing and image processing;
• Work well in a team setting; will exhibit a strong work ethic; will be self-motivated; and will place a high value on data quality and accuracy;
• Strong hands-on skills and experience with High Performance Computing on Linux systems will be a plus;
• Experience with large datasets, knowledge of imaging sonar, underwater acoustic or hydroacoustics will be a plus;
• PhD in an engineering, computer science, data science, or related field.
Hazardous Working Conditions/Environment

Not Applicable.
Additional Information

Not Applicable.
Testing Designated Position

Not a Testing Designated Position.
About PNNL

Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them!

At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab’s…

Pacific Northwest National Laboratory


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Pacific Northwest National Laboratory

Pacific Northwest National Laboratory

About this company

Founded date:1965

Investors:US Department of Energy

Stage:Other

Website:pnnl.gov

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Pacific Northwest National Laboratory (PNNL) operates as a government research laboratory. It conducts fundamental and applied research for the U.S. Department of Energy, government agencies, universities, and industry sponsors focused...read more

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