Materials Scientist 3 - Machine Learning for Materials Discovery

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 atcareers@pnnl.gov.