Sort by
Refine Your Search
-
-disciplinary teams, deliver manuscript first-drafts, mentor visiting students as opportunity arises. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact
-
and machine-learning-driven optimization frameworks for polymer composite manufacturing processes. This position resides in the Composites Innovation Group in the Manufacturing Science Division (MSD
-
presentations in large public forums Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity
-
for computational methods, manufacturing, and materials science. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service
-
aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one
-
and able to participate creatively in defining and refining research directions. Major Duties/Responsibilities The successful candidate will interact with a team of scientists and engineers at ORNL in a
-
Sustainable Systems Section, Environmental Sciences Division, Biological & Environmental Systems Science at Oak Ridge National Laboratory (ORNL). Major Duties/Responsibilities: Design experiments and perform
-
and instrumentation, controls, data science, and robotics along with close interactions with industry partners. These engagements will play a vital role in ensuring success of programs and the adoption
-
Postdoctoral Research Associate - Theory-in-the-loop of Autonomous Experiments for Materials-by-Desi
AI/ML surrogate models for inverse design of new materials and processes, incorporating simulated and experimental multi-modal datasets. Develop AI/ML approaches to bridge length- and time-scales in
-
behavior, and materials performance under irradiation, thermal, and mechanical loading. Plan and perform thermophysical property measurements and integrate measurement results with modeling predictions