Expertise in two or more of the following areas is necessary: Stochastic partial differential equations; Numerical solutions of PDEs and SDEs; Spatial and spatio-temporal statistics; Stochastic processes; Numerical optimization, Uncertainty quantification; Scientific programming.
The successful candidate will have a doctoral degree in Statistics or in a field relevant to the topics above, as well as excellent communication skills in English and high-level written and oral communication skills with the ability to represent the research team at national and international conferences. The candidate will be expected to work in a collaborative research environment with PhD and MS students within the group.
KAUST is an international, graduate research university dedicated to advancing science and technology through interdisciplinary research, education, and innovation. Located in Saudi Arabia, on the shores of the Red Sea, KAUST offers superb research facilities together with unmatched living conditions for individuals and families. The stochastic processes and applied statistics research group was created in 2019 within statistics (stat.kaust.edu.sa ) and the Computer, Electrical, and Mathematical Sciences and Engineering Division.
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