The Center for Computational Sciences and Engineering has an immediate opening for two postdoctoral researchers to work on the development of computational optimization algorithms and decision support systems. The focus of the first position is the development of methods for large-scale computationally expensive optimization problems. The second position focuses on the development of data-informed surrogate models for decision support systems in the water-energy nexus.
We are looking for candidates with experience in nonlinear computational optimization including mixed-integer, derivative-free, or global optimization. Experience with surrogate models, data analysis, machine learning, and uncertainty quantification is a plus.
The candidates will work independently as well as collaboratively in a multidisciplinary team environment that includes mathematicians, computer/computational scientists, and domain scientists. The candidates will have the opportunity to apply their developments to exciting application areas.
For more information about optimization at LBL, please visit https://optimization.lbl.gov
For more information about these particular openings, please contact Juli Mueller at JulianeMueller (AT) lbl.gov
To apply, please go to the postings at
decision support:
https://lbl.referrals.selectminds.com/jobs/computational-postdoctoral-scholar-water-energy-decision-support-957
large scale optimization:
https://lbl.referrals.selectminds.com/jobs/postdoctoral-scholar-center-for-computational-sciences-and-engineering-929
The posting shall remain open until the position is filled, however for full consideration, please apply by August 15, 2018.