Pacific Northwest National Laboratory Jobs

Job Information

Pacific Northwest National Laboratory Post Doctorate RA - Data Science (Energy Storage Materials) in RICHLAND, Washington

Organization and Job ID

Job ID: 309542

Directorate: National Security

Division: Computing & Analytics

Group: Data Sciences and Analytics

Job Description

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

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!

We are looking for strongly motivated candidates with excellent skills in data science with keen interest in multidisciplinary research relating to machine learning, chemical and physical modeling, and materials science. The selected candidate(s) will join the Pacific Northwest National Laboratory in Richland, WA and will work in collaboration with a multi-disciplinary team of research staff including data scientists, material scientist, mathematicians, and engineers. The candidate will support several exciting projects designed to accelerate the discovery of materials for improved energy storage efficiency and battery material technologies. Examples of specific research tools under development include novel techniques for data extraction, data fusion, representation learning, generative modeling, uncertainty quantification, active learning, and incorporating physical and chemical knowledge and constraints into machine learning systems.

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

  • Effective written and oral communication is required

  • Strong interpersonal skills and the ability to collaborate effectively on diverse teams are required.

  • Record of research accomplishments in peer-reviewed publications required.

  • Proven ability to work independently and to quickly adapt to new scientific environments.

Preferred Education/Credentials

  • Ph.D. in computer science, computational chemistry/physics/materials science, applied mathematics, statistics, or a related quantitative field.

  • Background includes knowledge of chemistry, materials science, physics, or related domains and experience applying machine learning and/or deep learning in these domains.

  • Experience with a wide range of machine learning algorithms and approaches (unsupervised/supervised/reinforcement learning, deep learning, generative models, etc.).

  • Strong programming capabilities and experience with common machine learning and deep learning libraries (Keras, PyTorch, TensorFlow, scikit-learn)

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.

Directorate: National Security Dir

Job Category: Post-Graduates and Post-Docs

Group: Data Sciences & Analytics

Opening Date: 2019-07-02

Closing Date: 2019-08-01

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