Looking for an opportunity to make an impact?
Come join the Leidos Research Support Team supporting the National Energy Technology Laboratory (NETL), where you’ll be able to work side by side conducting research with world-class scientists and engineers using state of the art equipment to contribute to new areas of basic and applied research; discover, integrate, and mature technology solutions to enhance the nation’s energy foundation and protect the environment for future generations. You will contribute to the development of patents, written reports, journal articles, and contribute to presentations on findings, highlights, and innovative solutions in DOE-sanctioned meetings, scientific conferences, and national committees. Explore the Research Support Services (RSS) contract for the U.S. Department of Energy’s (DOE) National Energy Technology Laboratory (NETL) here - https://netl.doe.gov/
We are seeking an Computational Machine Learning Scientist to join our team in Albany, OR. This work will involve a multi-disciplinary, scientific, and technically-oriented national laboratory team, participation alongside other data scientists, engineers, geologists, and computer scientists that produces technological solutions for America’s energy challenges. From developing creative innovations and efficient energy systems, to advancing technologies that enhance oil and natural gas extraction and transmission processes, NETL research is providing breakthroughs and discoveries that support home-grown energy initiatives, stimulate a growing economy, and improve the health, safety, and security of all Americans. Highly skilled women and men at NETL’s three research sites – Albany, Oregon; Morgantown, West Virginia, and Pittsburgh, Pennsylvania – conduct a broad range of research activities that support DOE’s mission to advance the national, economic, and energy security of the United States.
Primary Responsibilities: The Computational Machine Learning Scientist will be responsible for supporting the design and development of lightweight, cost-effective, precipitation strengthened refractory high entropy alloys (RHEA), based on Nb-Mo-Ta-Ti-Zr-Hf-V-Cr-Al-C for additive manufacturing. They will deploy machine learning (ML) to the composition-properties relationship of RHEA including temperature-dependent yield strength and room temperature ductility. This includes data collection and curation and analysis, ML algorithms development, and properties prediction of new alloys using ML.
If this sounds like the kind of environment where you can thrive, keep reading!
The successful candidate will work on local and geographically dispersed teams with other engineers, scientists, technicians, subject matter experts, faculty members, post-doctoral students, and graduate and undergraduate students from various socio-economic, cultural, and ethnic backgrounds from DOE National Laboratories, other U.S. government laboratories, universities, industries, and research organizations. The candidate will attend regular and ad hoc meetings and contribute to the development of written reports, journal articles, and presentations on findings and innovative solutions in DOE-sanctioned meetings, scientific conferences, and national committees.
Required Education & Experience:
- Ph.D. degree in physics, chemistry, materials science, chemical or mechanical engineering, or a related field.
- Solid practical experience with:
- High throughput screening;
- Experience in developing predictive and inverse ML models (random forest, support vector machine, neural network, etc.) for materials discovery;
- Coding with Python, MATLAB, Linux, etc., and;
- Phase transformation, thermodynamics, and physics of metallic materials (in particular, High entropy alloys, and high strength steels).
- Must be detail-oriented, able to take initiative, work well both independently and as a member of a team
- Must be able to balance competing and changing priorities.
- Must demonstrate competency in scientific and engineering modeling and analysis tools applicable to the specific tasks.
- Must have a demonstrated record of successfully working independently and with minimum supervision as a part of a team in a multi-disciplinary, multi-cultural environment and interacting with people with a variety of expertise.
- Must possess strong analytical, oral and written communications skills, particularly the ability to:
- Analyze and interpret data generated from research, apply data to analysis within the context of scope and direction, and clearly report results;
- Author and/or co-author reports, manuscripts, and articles suitable for inclusion in refereed journals, and;
- Present research results in company and client meetings and in externally facing settings
In order to enter Leidos facilities in the U.S. and to attend Leidos events outside our facilities, employees are required to be vaccinated for COVID-19 or maintain proof of a negative COVID-19 test within 96 hours of entry. In addition, we are receiving guidance from certain customers that onsite contractor personnel will need to be fully vaccinated to access customer facilities. If you are not vaccinated, please consider getting your COVID-19 vaccination as soon as possible. If you have any questions, please contact your Talent Acquisition POC.
Leidos is a Fortune 500® technology, engineering, and science solutions and services leader working to solve the world’s toughest challenges in the defense, intelligence, civil, and health markets. The company’s 43,000 employees support vital missions for government and commercial customers. Headquartered in Reston, Virginia, Leidos reported annual revenues of approximately $13.7 billion for the fiscal year ended December 31, 2021. For more information, visit www.Leidos.com.
Pay and Benefits
Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available here.
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Commitment to Diversity
All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.