Berkeley Lab’s Center for Computational Sciences and Engineering (CCSE) in the Computational Research Division has an opening for a Postdoctoral Scholar in Optimization for Deep Learning. Researchers in CCSE develop and apply advanced computational methodologies to solve large-scale scientific and engineering problems arising in Department of Energy mission areas involving energy, environment, and industrial technology. This position will actively contribute to CCSE’s optimization research and algorithm development.
This is a research position in applied mathematics and computational science. The successful candidate will develop new efficient algorithms for the automated optimization of Deep Learning (DL) model architectures and the uncertainty quantification of the associated DL model’s predictions. The postdoc will implement, benchmark, analyze, and apply the developments to science problems relevant to Berkeley Lab and the Department of Energy, for example predicting the traffic of the Energy Sciences network (ESnet).
For more information about the opening, visit https://lbl.taleo.net/careersection/2/jobdetail.ftl?lang=en&job=91104 and reach out to JulianeMueller@lbl.gov with any questions you may have.