Description

Job Description:

Looking for an opportunity to make an impact?

Come join the Leidos Research Support Team supporting the National Energy Technology Laboratory (NETL) where youll 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 nations 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 Energys (DOE) National Energy Technology Laboratory (NETL) here - https://netl.doe.gov/

We are seekingan Computational Machine Learning Scientist to join our teamin 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 Americas 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 NETLs three research sites Albany Oregon; Morgantown West Virginia and Pittsburgh Pennsylvania conduct a broad range of research activities that support DOEs 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

Pay Range:

Covid Guidance

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.

About Leidos

Leidos is a Fortune 500 technology engineering and science solutions and services leader working to solve the worlds toughest challenges in the defense intelligence civil and health markets. The companys 43000 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.

Securing Your Data

Leidos will never ask you to provide payment-related information at any part of the employment application process. And Leidos will communicate with you only through emails that are sent from a Leidos.com email address. If you receive an email purporting to be from Leidos that asks for payment-related information or any other personal information please report the email to [emailprotected].

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.