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Pacific Northwest National Laboratory (PNNL)

Materials Scientist 3 - Machine Learning for Materials Discovery

richland, WA

Check who can apply and the requirements below before continuing.

About this opportunity

Pacific Northwest National Laboratory (PNNL) lists this Materials Scientist 3 - Machine Learning for Materials Discovery opportunity in richland, Washington. Review the employer’s description below for duties, qualifications and application requirements.

Job description

Join our Materials Sciences team as a Scientist, and be part of a diverse, multi-disciplinary team committed to integrating machine learning with experimentation and simulations for materials discovery and design. Our research aims at utilizing latest advances in artificial intelligence research to navigate complex multi-dimensional experimental and theoretical parameter spaces toward creating optimal materials for a sustainable clean energy future. One of the key aspects of our work involves developing frameworks that dynamically bridge the gaps between experimental insights and theoretical models through state-of-the-art active learning techniques. By joining our team, you will have the opportunity to collaborate with leading experts and contribute to transformative research that shapes the future of data‑driven materials science at PNNL.

Develop and deploy new machine learning capabilities for physics‑guided materials design.

Work with experimental teams to establish autonomous materials science workflows.

Lead manuscript and proposal development efforts.

Present research findings at technical conferences and project review meetings.

Qualifications

Minimum Qualifications

BS/BA and 5+ years of relevant work experience -OR-

MS/MA and 3+ years of relevant work experience -OR-

PhD with 1+ year of relevant experience

Preferred Qualifications

Ph.D. in Physics, Chemistry, Materials science, Engineering, or a related field.

Proven background in developing machine learning solutions for physical science problems.

Excellent Python coding skills.

Experience with probabilistic machine learning and active learning techniques.

Experience with participating and leading the development of research proposals.

Excellent written and oral communication skills.

At PNNL, you will find an exciting research environment and excellent benefits including health insurance, flexible work schedules and telework options.

Commitment to Excellence, Diversity, Equity, Inclusion, and Equal Employment Opportunity

Our laboratory is committed to a diverse and inclusive work environment dedicated to solving critical challenges in fundamental sciences, national security, and energy resiliency. We are proud to be an Equal Employment Opportunity and affirmative action employer. In support of this commitment, we encourage people of all racial/ethnic identities, women, veterans, and individuals with disabilities to apply for employment.

Pacific Northwest National Laboratory considers all applicants for employment without regard to race, religion, color, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws.

We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at .

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Worksite address

richland, WA, 99352, US

Who can apply

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