Looking for an opportunity to make an impact?
The Leidos Research Support Team supporting the National Energy Technology Laboratory (NETL) is seeking a Computational Machine Learning Researcher to join our program in Albany, OR. This opportunity will allow side by side execution of research with world-class scientists and engineers using state of the art equipment to contribute to new areas of basic and applied research.
Driven by our talented workforce, the Integrated Missions Operation builds trust through an array of energy-related IT, environmental science and engineering solutions to meet our customers’ needs.
If this sounds like the kind of environment where you can thrive, keep reading!
Location: Albany, OR
The objective of this project is Machine Learning composition-properties relationship of RHEAs including temperature-dependent yield strength and room temperature ductility. The Computational Machine Learning Researcher will be responsible for data collection and curation analysis, ML algorithms development, and properties prediction of new alloys using ML.
This opportunity involves collaboration among National Laboratories, the Department of Energy (DOE), universities, and industries.
- Ph.D. degree in Physics, Chemistry, Materials Science, Chemical or Mechanical Engineering, or a related field.
- Experience with high throughput screening.
- Experience in developing predictive and inverse ML models (RF, SVM, NN, etc.) for materials discovery.
- Coding experience with Python, MATLAB, Linux, etc.
- Solid background in phase transformation, thermodynamics, and physics of metallic materials (in particular, High entropy alloys, and high strength steels).
- Excellent oral and written communication skills.
- Excellent record of peer-reviewed quality publications.
- Experience in supervised and unsupervised machine learning.
- Ability to work independently and with minimum supervision.
- Ability to work effectively as a part of a team in a multi-disciplinary environment and interact with people with a variety of expertise.
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® information 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 $12.30 billion for the fiscal year ended January 1, 2021. For more information, visit www.Leidos.com.
Pay and Benefits
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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.