Sort by
Refine Your Search
-
Requisition Id 15489 Overview: The Analytics and AI at Scale (AAIMS) group under Advanced Technology Section (ATS) of NCCS is hiring two postdoctoral research associates to push the frontier
-
sensor research and development for energy applications, with a focus on advanced manufacturing technologies. The MSA group consists of staff members with backgrounds in mechanical engineering, materials
-
Science, Computer Science, Applied Mathematics and Statistics, Electrical and Computer Engineering, Biomedical Engineering, or a related field. Experience with a deep learning framework like PyTorch. Strong
-
, and measure success. Basic Qualifications: Ph.D. in Polymer Science and Engineering, Polymer Chemistry, Chemical Engineering, Materials Science and Engineering, or a closely related field, obtained
-
the Manufacturing Science Division (MSD), Energy Science and Technology Directorate (ESTD) at Oak Ridge National Laboratory (ORNL) to work in the areas of life cycle energy impacts analysis, technoeconomic analysis
-
Scattering Division (NSD), the Instrument Development group in the Neutron Technology Division (both part of the Neutron Sciences Directorate at Oak Ridge National Laboratory (ORNL), and the Neutron and X
-
perpetuation of values and ethics. Collaborate within a multi-disciplinary research environment consisting of experimentalists, computational scientists, and engineers conducting basic and applied research in
-
engineers, leveraging cutting-edge resources; most notably the Frontier supercomputer, the world's first exascale computing system. This is a unique opportunity to engage in transformational research
-
AI-ready scientific data. As a postdoctoral fellow at ORNL, you will collaborate with a dynamic team of scientists and engineers, leveraging cutting-edge resources; most notably the Frontier
-
and visualization technologies, programming systems and environments, and system science and engineering. Major Duties/Responsibilities: The position requires collaboration within a multi-disciplinary