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​Postdoctoral Positions (available i​mmediately)

Focus 1: computational challenges in working with large spatial-temporal datasets with applications to climatology and meteorology among other areas. Specific possible projects include computation of exact and approximate likelihoods for Gaussian processes with unstructured covariance matrices, non-Gaussian process models for spatial-temporal data and spectral methods for nonstationary processes.

Applicants should have experience in applications of statistics or computational mathematics to the physical sciences. A PhD in Statistics or a closely related field is required. Experience in programming and manipulation of large datasets is required. 


Focus 2: environmental modeling, functional data and space-time data analysis. In collaboration research centers, we are particularly interested in statistical models and methods for problems in hydrology, plant science, marine science and ecology. Potential research topics include: spatio-temporal modeling of environmental problems, and characterization and comparison of space-time variability in various data products.

Applicants should have experience in applications of statistics to atmospheric or oceanic science. A PhD in Statistics, or a PhD in Geosciences with a strong statistical background is required. Strong collaborative skills are highly desirable. 
Duration: postdoctoral appointments are two years.

To apply: email a CV, statement of research int​erests, and names and contact information for at least two references to Prof. Ying Sun at ying.sun@kaust.edu.sa
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