[Opt-Net] Two postdoc positions in optimization and decision support at Berkeley Lab

[Juliane Piiloblondie Müller]

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.
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