University of Texas, San Antonio, has 2 open post-doc positions in their new Consortium for Nuclear Security Technologies (CONNECT). The research will focus on the application of machine learning to nuclear security.
The overarching goal of CONNECT is to educate and train the best next-generation professionals with strong backgrounds in nuclear science, fissionable fuels fabrication and processing, nuclear materials characterization, nuclear forensic signatures, nuclear technology, and data and visual analytics, each collaboratively brought to bear on expanding the innovation envelope of nuclear security.
A multi-disciplinary team at the University of Texas at San Antonio is seeking a highly talented and motivated postdoctoral fellow skilled in machine learning for a multi-year, NNSA-funded position. The collaborative project involves UTSA Departments of Engineering (ECE and ME), Computer Science, and Physics, as well as external partnerships with the University of Las Vegas Nevada, St. Mary’s University, Argonne National Labs, and Los Alamos National Labs.