Prof. Rue is in London for a few days in December for the 12th International Conference of the ERCIM WG on Computational and Methodological
Statistics (CMStatistics 2019), and a visit to research collaborators at
the London School of Hygiene & Tropical Medicine, as well as some collaborators at Imperial College.

The 3 faculty positions are in the Statistics Program (http://stat.kaust.edu.sa) within the Computer, Electrical, and Mathematical Sciences and Engineering Division. Currently, the Statistics Program has 7 core faculty and 10 affiliated faculty. We are primarily interested in applicants with strong background in one of the following areas: (1) Statistical Data Science and AI, including network data analysis and high-dimensional statistics (https://apply.interfolio.com/69165); (2) Statistical Climatology, with expertise in statistical analysis of climate model output data, in particular regional climate models, and in physical systems (https://apply.interfolio.com/69167); (3) Statistics for Public Health, including smart health data analysis, personalized medicine, and disease mapping (https://apply.interfolio.com/69168). 

Dr. Janet van Niekerk presented a talk on complex survival models in the International Symposium in Computational and Methodological Statistics and Biostatistics in July 2019 at the University of Pretoria. She also collaborated on existing and new projects with collaborators from South Africa and North Carolina.

Prof. Haavard Rue was an invited speaker at the Swiss Numerics Day 2019 meeting in May 2019 at USI Lugano, Switzerland. He contributed to this meeting with a talk about the role and importance of sparse matrices in statistics. He also collaborated with Prof Olaf Schenk, which is the brain behind the PARDISO sparse matrix library in R, and others.