Two Postdoc Positions at KAUST
The Extreme Statistics research group (extSTAT, http://extstat.kaust.edu.sa/) led by Prof. Raphaël Huser at the King
Abdullah University of Science and Technology (KAUST), Saudi Arabia, is seeking to appoint two Postdoctoral
Research Fellows to work on research problems at the interface between several of the following areas:
- Extreme-value theory and statistics
- Spatio-temporal statistics
- Stochastic partial differential equation (SPDE) models for spatial statistics
- Fast inference methods (MALA, HMC, INLA, Variational Bayes, likelihood-free approaches, etc.)
- Graphical models
- Causal inference
- Probabilistic machine learning (neural networks, etc.)
- Applications in climate science, geoscience, finance, neuroscience
The two postdoc positions are designed to be a career-building step for junior scholars, with the development of a
research program as focus. The postdocs will be fully part of the extSTAT research group at KAUST, primarily
supervised by Raphaël Huser and be actively involved in the ongoing collaborative research grant entitled “Sparse
Models for Spatio-Temporal Extremes” with the University of Geneva. Successful candidates will be expected to
conduct and present high-quality research, publish papers, and help supervise PhD students.
Profile required: Applicants must hold a PhD degree in statistics, data science, or a related field. Successful
candidates must have expertise in at least two of the above areas, have strong analytical/mathematical skills, have
demonstrated evidence of a strong creative potential, and have excellent scientific programming skills (e.g., R,
Matlab, C++, python, etc.). Good interpersonal skills, willingness to interact with other researchers and students,
and ability to present at international conferences are expected. Fluency in English and excellent communication
skills in speaking and writing are required. Independence and strong motivation for innovative science is desired.
About KAUST: King Abdullah University of Science and Technology (KAUST) is an international, graduate-level
research university located on the shores of the Red Sea in Saudi Arabia. KAUST is dedicated to advancing science
and technology through interdisciplinary research, education and innovation. The university attracts top
international faculty, scientists, engineers, and students to conduct fundamental and goal-oriented research to
address the world’s pressing scientific and technological challenges related to the energy, environment, water,
food, and sustainability. KAUST seeks to contribute to the transformation of Saudi Arabia to a knowledge-based
economy, promoting economic development and achieving the widest public benefit. www.kaust.edu.sa
Conditions: KAUST offers:
-Highly competitive salary, including generous benefits
-Top computational facilities (e.g., on-site supercomputer), high-end workstations, and superb resources
-Opportunities to attend local and international conferences
-A beautiful campus located on the shores of the Red Sea with excellent recreational facilities
-A diverse multicultural community (with more than 100 nationalities represented on campus)
Details:
- Start date: as soon as possible. Selection for positions will start immediately and continue until positions are
filled. Applications received first will have highest priority.
- Initial appointment for one year, renewable for up to 3 years subject to satisfactory performance.
To apply: Please email your CV, list of publications, transcripts, names of at least two referees, and a cover letter to
Raphaël Huser at This email address is being protected from spambots. You need JavaScript enabled to view it.. A 2-page research proposal is also desired, but not required to start
the application process.
