PhD Position in Optimization at KU Leuven
The group of Prof. Dominik Bongartz at the Department of Chemical Engineering (https://cit.kuleuven.be/english/index) at KU Leuven, Belgium, is currently looking for a PhD candidate on developing optimization methods for nonconvex problems.
Mathematical optimization has become an invaluable tool in Chemical Engineering for tasks ranging from model development to process design and operation. Unfortunately, many of the optimization problems are nonconvex, and current methods still struggle to provide high-quality solutions to challenging problems in reasonable time. Therefore, this PhD project aims at developing a new type of optimization methods that draws inspiration from both existing local and global optimization methods. The tasks include theory development, implementation in open source software, and testing on a range of benchmark problems from the engineering literature.
Prof. Bongartz is looking for candidates with a background in an engineering discipline, computer science, or applied mathematics who enjoy programming (ideally with experience in C++) and have a strong interest in developing, implementing, and testing algorithms for tackling real-world problem. Further details as well as a link to the application portal can be found on the university website (https://www.kuleuven.be/personeel/jobsite/jobs/60414067?lang=en). If you have any questions about the position, please email dominik.bongartz@kuleuven.be
And as always, be sure to note in the cover letter that you learned about this posting on PSEcommunity.org!
Image source: @Juhanson, Wikimedia Commons