Post-Doctoral Researcher - Computational Materials
Posted on: November 11, 2021
Looking for an opportunity to make an impact?
The Leidos Research Support Team supporting the National Energy
Technology Laboratory is seeking a Computational Materials
Post-Doctoral Researcher to join us 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.
TERM OF COMMITMENT: This research position
is intended to be a term position, with varying levels of
commitment that are not expected to last longer than 2
years. You will be informed prior to applying what length of
commitment is anticipated. Also, those who successfully fill a term
position, may be invited to apply for an additional
term. Nothing in this paragraph is intended to create an
employment contract. Employment will
remain at will.
Location: Albany, OR
If this sounds like the kind of environment where you can
thrive, keep reading!
The objective of this project is to incorporate
microstructural aging into the creep and uncertainty
quantification (DFT focus), 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, and/or
corrosion) using multiscale computational modeling and machine
learning. The research will focus on perform DFT calculations on
interfacial energy with and without segregants of C, B and N,
perform mean-field precipitation kinetics of sigma phase formation
and growth in 347H stainless steels, and develop machine learning
algorithms and then construct ROM for sigma phase precipitation
kinetics in 347H stainless steels. This opportunity involves
collaboration among national laboratories of Department of Energy,
universities, and industries.
- Ph.D. degree in Physics, Chemistry, Materials Science, Chemical
or Mechanical Engineering, or a related field.
- Substantial DFT expertise in calculating crystal defect
energetics such as interfaces, solid understanding of diffusion in
- 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
- Excellent oral and written communication skills.
- Excellent record of peer-reviewed quality publications.
- Experience in supervised and unsupervised machine
- Experience with data mining of CALPHAD generated data using
- Ability to work independently and with minimum
- Ability to work effectively as a part of a team in a
multi-disciplinary environment and interact with people with a
variety of expertise.
Keywords: Leidos, Albany , Post-Doctoral Researcher - Computational Materials, Other , Albany, Oregon
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