Four PhD positions are available at the Department of Computer Science, Faculty of Electrical Engineering (FEL), Czech Technical University in Prague, starting September, 2019. Two PhD positions are available under the co-supervision of Drs.Vyacheslav Kungurtsev and Filip Zelezny, both at FEL. The focus will be on continuous optimization algorithms for machine learning, with the potential topic of the relationship between generalization (training versus test accuracy) and choice of optimization algorithm used for training deep neural networks. Correspondingly, we are seeking applicants with a masters degree in Mathematics, Informatics, Computer Science, or working towards one. The applicant should be familiar with Machine learning, especially deep neural networks, and Continuous optimization. A PhD position is available under the co-supervision of Drs. Vyacheslav Kungurtsev (Czech Technical University) and Jakub Marecek (IBM Research -- Ireland). The focus will be on incorporating methods from control engineering in algorithms for non-convex optimization, such as in the training deep neural networks as well as incorporating machine learning in control engineering. Correspondingly, we are seeking applicants with a masters degree in Mathematics, Control Engineering, Cybernetics, Informatics, Computer Science, or working towards one. The applicant should be familiar with at least one of: 1) Machine learning, especially deep neural networks 2) Linear control theory (PID, integral-quadratic controllers, etc.) 3) Nonlinear control theory 4) Continuous optimization. A PhD student position is available in the Department of Computer Science, Faculty of Electrical Engineering at Czech Technical University in Prague, under the co-supervision of Drs. Vyacheslav Kungurtsev (Czech Technical University), Jakub Marecek (IBM Research -- Ireland), and Didier Henrion (LAAS-CNRS). The focus will be on semidefinite programming, which is a branch of convex optimization with extensive applications in control engineering, power systems, signal processing, and statistics. Potential topics include those related to time-dependent problems, semidefinite programming under uncertainty, distributed solvers, and solvers specialised to low-rank problem, with details to be agreed upon. Correspondingly, we are seeking applicants with a Masters degree in Mathematics, Informatics, Computer Science, or similar, or working towards one, and with programming experience in MATLAB. Funding is available for an internationally competitive salary and travel expenses for four years, starting in September 2019. Requests for further information and applications, including a cover letter and a CV, should be addressed to Dr. Vyacheslav Kungurtsev (vyacheslav.kungurtsev@fel.cvut.cz)------------------------------
Eugene Komaroff
Keiser University Graduate School
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