You are an ideal candidate if you:
Research group
You will embed in the Stochastic Operations Research (SOR) research group, part of the Statistics, Probability, and Operations Research (SPOR) cluster and thus the M&CS department. The SOR research group is concerned with complex systems operating under randomness and uncertainty, and aims to develop mathematical models and techniques for the analysis and optimization of such systems. Methodologically, SOR's research program falls at the intersection of Applied Probability and Operations Research, and SOR in particular engages in cutting-edge research in the area of queueing theory and analysis of random walks and higher-dimensional Markov processes. A key aim is to develop analytic, probabilistic, algorithmic and asymptotic methods, with emphasis on asymptotic laws and scaling limits for large-scale critical systems. While fundamental and methodological in nature, the research is deeply inspired by applications in computer-communications, logistics and service operations, but also biological systems, particle interactions and social networks. SOR comprises of approximately 10 faculty, and 20 PhDs.
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