I am always looking for talented and enthusiastic students and postdocs passionate about geospatial data science and interested in health and environmental applications. If you share the same research interests, please do not hesitate to send me an e-mail with your CV and a letter of interest and we can discuss funding opportunities available. At KAUST, you will interact closely with collaborators in the Statistics Program and around the world, receive an international competitive salary and generous travel funding for conferences and collaborative work, and have access to superb equipment and research facilities.
To apply, please contact me by e-mail including the following documents: (1) CV including a list of publications and names and contact information of three referees, (2) cover letter including a description of research experience and research interests, (3) sample publications and other demonstrations of your research, writing and coding skills.
Applications should be made through the KAUST admissions website. As you submit your application, please contact me by e-mail including a CV and a letter of interest.
To apply, please contact me by e-mail including a CV and a letter of interest.
The Geospatial Statistics and Health Surveillance research group is in the Statistics Program within the Computer, Electrical, and Mathematical Sciences and Engineering Division at the King Abdullah University of Science and Technology (KAUST). KAUST is an international, graduate level research university dedicated to advancing science and technology through interdisciplinary research, education, and innovation. Located on the shores of the Red Sea in Saudi Arabia, KAUST encourages fundamental and goal-oriented research focused on finding solutions to problems in areas related to health, water, food, energy and the environment. You can learn more about the research of the Statistics Program faculty in this video.
Postdoc positions
Two postdoc positions are open to work on spatial and spatio-temporal statistics, statistical modeling, disease mapping, spatial epidemiology, health surveillance, and the development of R packages for data analysis and visualization. No teaching duties are required although teaching opportunities may be provided if desired. Candidates should have a Ph.D. in statistics, mathematics, computer science, or a related quantitative field, as well as excellent written and verbal English communication skills. Postdocs receive a competitive salary and career development support, as well as benefits including free housing, medical insurance, and free international schools.To apply, please contact me by e-mail including the following documents: (1) CV including a list of publications and names and contact information of three referees, (2) cover letter including a description of research experience and research interests, (3) sample publications and other demonstrations of your research, writing and coding skills.
Ph.D. Fellowships
Outstanding students are invited to apply for a Ph.D. fellowship within the Statistics Program. Prospective students should have a Bachelor's or Master's degree in statistics, mathematics, or a related quantitative field that includes courses in calculus, linear algebra and probability, as well as excellent written and verbal English communication skills. KAUST students receive a competitive stipend and full free tuition support, as well as benefits including free housing, medical insurance, and relocation support.Applications should be made through the KAUST admissions website. As you submit your application, please contact me by e-mail including a CV and a letter of interest.
Visiting student research projects
Outstanding students currently enrolled in a Master's or Ph.D. program and with strong English communication skills are invited to apply for a visiting position within the GeoHealth Research Group. Visiting positions enable the student to gain research experience under the guidance and support of KAUST faculty mentors. Students undertake a focused research project during a period of 1 to 3 months and make a significant research advance which often leads to a publication in an international journal. Visiting students receive a monthly stipend, accommodation, travel, and medical insurance. Currently, options to work remotely outside KAUST are also available.To apply, please contact me by e-mail including a CV and a letter of interest.
The Geospatial Statistics and Health Surveillance research group is in the Statistics Program within the Computer, Electrical, and Mathematical Sciences and Engineering Division at the King Abdullah University of Science and Technology (KAUST). KAUST is an international, graduate level research university dedicated to advancing science and technology through interdisciplinary research, education, and innovation. Located on the shores of the Red Sea in Saudi Arabia, KAUST encourages fundamental and goal-oriented research focused on finding solutions to problems in areas related to health, water, food, energy and the environment. You can learn more about the research of the Statistics Program faculty in this video.