To our valued Leidos candidates:

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Job #: R-00066899
Location: Pittsburgh, PA
Category: Research Scientist
Schedule (FT/PT): Full Time
Travel Required: No
Shift: Day
Potential for Telework: Yes, 50%
Clearance: None
Referral Eligibility: Ineligible
Group: Civil

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Description

Job Description:

The Leidos Research Support Team supporting the National Energy Technology Laboratory is seeking a Computational Materials Post-Doctoral Researcher to join our as part of our Workforce Development Program. 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.

The objective of the research team is to accelerate the design and development of cost-effective high-performance advanced structural materials such as high entropy alloys, Ni- and Fe-based alloys for extreme environments (e.g. high temperature, high stress, oxidation, corrosion, or hydrogen) using multiscale computational modeling and machine learning. The research will focus on predicting thermodynamic (e.g. phonon, entropy), kinetic (e.g. diffusion), defect energetics (stacking faults, twining, anti-phase boundary, surfaces, interfaces and grain boundaries), mechanical properties (e.g. elasticity, plasticity, ductility, yield stress), and environmental properties (e.g. oxidation, corrosion, or hydrogen embrittlement) of alloys using DFT and machine learning as well as other modeling techniques. The computational outcome will be used to guide experimental effort in optimizing the composition-processing-microstructure-properties relationships. This opportunity involves collaboration among national laboratories of Department of Energy, universities and industries. 

Locations: Albany, OR; Morgantown, WV or Pittsburgh, PA

Minimum Qualifications:

  • Ph.D. degree in Physics, Chemistry, Materials Science, Chemical or Mechanical Engineering, or a related field.
  • Demonstrated proficiency in DFT calculations on diffusion, phonon, and mechanical properties using VASP.
  • Demonstrated proficiency in computer programming and code development using Python, C/C++, Fortran, Linux script, parallel computing, etc. 
  • Excellent oral and written communication skills.  
  • Excellent record of peer-reviewed quality publications.

Preferred Qualifications:

  • Experience in supervised and unsupervised machine learning.
  • Experience in molecular dynamics using LAMMPS to simulate mechanical behavior of solids.
  • 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.

Pay Range:

COVID Response

Effective October 1, in order to enter Leidos facilities in the US and to attend Leidos business events outside our facilities, employees will be required to be vaccinated for COVID-19 or maintain proof of a negative COVID-19 test within 96 hours of entry.  Effective December 8, all Leidos employees must be fully vaccinated (2 weeks past final dose) unless they are entitled to a legal accommodation. 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® 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

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 [email protected].

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.

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