Sort by
Refine Your Search
-
Requisition Id 16974 Overview: We are seeking a Postdoctoral Research Associate to conduct Mechanical Behavior of Advanced Structural Alloys by Engineering Diffraction. This position resides in
-
Requisition Id 16386 Overview: We are seeking a Postdoctoral Research Associate to conduct advanced research on the mechanical behavior and microstructure evolution of advanced structural alloys
-
to ORNL’s Research Code of Conduct. Our full code of conduct and a statement by the Lab Director’s office can be found here: https://www.ornl.gov/content/research-integrity Basic Qualifications: To be
-
(NSSD). In this role, you will conduct fundamental research into the integration of Bayesian methodologies with system dynamics modeling, advancing statistical methods and the open-source scientific
-
alloys and extreme environment structural materials. A strong background in mechanical behavior of materials is required. Demonstrated experience in the implementation of nonlinear constitutive models in
-
compatible with the leadership-class high-performance computing facilities available at ORNL and other DOE facilities. Independently plan and conduct simulations while routinely adapting them to integrate with
-
the design and operation of next-generation thermal systems, developing strategies to model, optimize, predict, and autonomously control thermal systems behavior in complex systems. The candidate will
-
). Experience in studying precipitation behavior and structure-property relationships in various alloy systems. Hands-on skills in the use of transmission electron microscopy and atom probe tomography. Expertise
-
. To conduct this work, the successful candidate will use the world's first exascale system, Frontier, and collaborate with leading experts in machine learning, optimization, electric grid analytics, and
-
artificial intelligence for science, knowledge-guided machine learning, and scalable scientific AI workflows. The successful candidate will conduct research at the intersection of machine learning, high