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# Post Doctorate Research Associate - Engineering Data Scientist

- **Company:** Pacific Northwest National Laboratory
- **Location:** Richland, WA, United States
- **Salary:** $69,000.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Algorithm Design, Artificial Neural Networks, C++ (Programming Language), R (Programming Language), Python (Programming Language), Machine Learning, Data Processing, High Performance Computing, Deep Learning, Engineering Base, Programming Languages
- **Published:** July 30, 2026
- **Apply:** https://dejobs.org/x/x/58C3A0680FB143B9A37D73302A2F5D37/job/

## About the Role

* 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., * Candidates received a PhD degree in data science, artificial intelligence/machine learning (AI/ML) with strong engineering application or PhD in engineering field with strong AI/ML and data science application.
 * Demonstrated hands-on experience developing, training, and deploying AI/ML models (e.g., deep learning, physics-informed neural networks (PINNs), surrogate modeling, or predictive analytics) to solve physical and engineering problems.
 * Strong proficiency in statistics, numerical modeling (e.g., Finite Element Methods), and high-performance computing.
 * Strong understanding of earth systems processes and interrogative sensing. techniques to inform environmental conditions.
 * Extensive experience with programming languages, including C/C++, Python, and R.
 * Demonstrated ability to work independently, collaborate effectively in multidisciplinary teams, and meet project milestones.
 * Strong communication skills for presenting complex scientific and engineering concepts, research results, and broader impacts to technical and nontechnical stakeholders.

Hazardous Working Conditions/Environment

## Description

The Environmental/Integrated Sensors teams within the Earth System Predictability & Resiliency Group of ESSD is seeking candidates to lead key tasks and support interdisciplinary projects including:

1) developing advanced sensing systems for earth system science and renewable energy. These next-generation sensors are not only fast, accurate, and versatile in terms of system performance but also lightweight, small, and soft. They can also be adapted for challenging environments such as deep subsurface and the Arctic environments, as well as for chemical detection.

2) developing advanced energy-harvesting systems for small sensors/transmitters as well as remote sensing platforms.

3) studying the environmental impact of conventional hydropower and marine and hydrokinetic renewable energy systems by detecting and tracking fish or other animals in the river or ocean using underwater acoustic telemetry.

The primary scope of this position includes advanced sensor design, signal acquisition, data processing and algorithm development in laboratory settings and field environment, generation of intellectual properties, and writing of high-impact papers.


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