Postdoctoral position on Hierarchical Optimization methods for Machine Learning

King Abdullah University of Science and Technology, Saudi Arabia

Updated: about 14 hours ago
Deadline: The position may have been removed or expired!

One postdoctoral position is currently available at King Abdullah University of Science and Technology (KAUST) for a collaborative project with a starting date of April 1, 2020. The candidate will be involved in the three-year project “High Dimensional Hierarchical Optimization methods for Machine Learning and Stochastic Optimal Control”. Background or expertise in one or more of the following areas will be considered when selecting candidates: Machine Learning, Neural Networks, Numerical solutions of Partial Differential Equations and Stochastic Differential Equations, Numerical Optimization, Uncertainty quantification, Approximation Theory, Applied Probability and Bayesian statistics, Optimal Control and Dynamic Programming.

Appointment, salary, and benefits. The appointment period is two years. The salary is highly competitive and no income tax is currently paid to the Kingdom of Saudi Arabia. Benefits include medical and dental insurance, air transportation to KAUST, one round-trip airline ticket per year to visit home country, and free housing while at KAUST (in shared housing unless living with spouse or children).

About KAUST. King Abdullah University of Science and Technology (KAUST) is an international, graduate-level research university, located on the Red Sea near Thuwal, 80 kilometers (50 miles) North of Jeddah, in the Kingdom of Saudi Arabia. Dedicated to inspiring a new age of scientific achievement that will benefit the region and the world, KAUST has the mission of exemplifying the future of world-class research. More details are available at www.kaust.edu.sa .

For more information, see the https://stochastic_numerics.kaust.edu.sa/Pages/Home.aspx


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