The 3 faculty positions are in the Statistics Program ( 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 (; (2) Statistical Climatology, with expertise in statistical analysis of climate model output data, in particular regional climate models, and in physical systems (; (3) Statistics for Public Health, including smart health data analysis, personalized medicine, and disease mapping ( 

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.

Prof. Haavard Rue, Dr. Haakon Bakka and Dr. Janet van Niekerk presented a four day long INLA training course at the University of South Africa in Florida, Johannesburg during June 2019.

The course was designed to impact young staff and PhD students from previously disadvantaged universities in South Africa. The audience gained a lot of skills during this course and the course was very well received.

Prof. Haavard Rue and Dr. Haakon Bakka presented a part of the
European Course in Advanced Statistics on Statistical Analysis for
Space-Time Data (ECAS2019), organized by the Portuguese Statistical
Society (SPE) and the Spanish Society of Statistics and Operational
Research (SEIO). The course took place in Lisbon, Portugal, on July

Haakon went to the University of Zurich for two weeks in May 2019 to collaborate with Malgorzata Roos on "Sensitivity and identification quantification by a relative latent model complexity perturbation in the Bayesian meta-analysis"

Also in Zurich, Haakon gave a talk at ETH titled "Fundamental ideas of the stochastic partial differential equations approach to defining random effects".