The Center for Computational Sciences and Engineering has an immediate opening for a postdoctoral researcher to work on the development of computational optimization algorithms for solving computationally expensive black-box optimization problems, in particular problems with uncertainty. We are looking for a candidate with experience in nonlinear optimization, including mixed-integer, derivative-free, or global optimization, who is interested in developing new solution approaches that integrate uncertainty quantification methods in optimization algorithms. The candidate will work independently as well as collaboratively in a multidisciplinary team environment that includes mathematicians, computer/computational scientists, and domain scientists. The candidate will have the opportunity to apply their developments to exciting application areas.
For more information about the optimization at LBL, please visit https://optimization.lbl.gov/