Faculty Position in Data Science
King Abdullah University of Science and Technology KAUST
Saudi Arabia



The Computer, Electrical, and Mathematical Sciences and Engineering Division at King Abdullah University of Science and Technology (KAUST) invites applications for a faculty position in Data Science at all levels (Assistant, Associate, and Full Professor) beginning in the Fall of 2018. Candidates applying for a position of Assistant Professor should have an excellent potential for high impact research. Candidates applying for Associate and Full Professor positions should have a distinguished track record in research and a strong commitment to service, mentoring, teaching at the graduate level and making an impact in interdisciplinary research.


KAUST is an international, graduate research university dedicated to advancing science and technology through interdisciplinary research, education, and innovation. Located in Saudi Arabia, on the western shores of the Red Sea, KAUST offers superb research facilities, generous baseline research funding, and internationally competitive salaries, together with unmatched living conditions for individuals and families. The generous social policy coupled to the top-quality research facilities have succeeded in attracting top international faculty, scientists, engineers, and students making KAUST into the only university worldwide where fundamental goal-oriented and curiosity-driven research is employed to address the world’s most pressing challenges related to water, food and energy sustainability as well as their impact on the environment.


More information about KAUST academic programs and research activities are available at http://www.kaust.edu.sa


This faculty position is joint between Computer Science (http://cs.kaust.edu.sa) and Statistics (http://stat.kaust.edu.sa) within the Computer, Electrical, and Mathematical Sciences and Engineering Division. We are interested in applicants with background in modern statistical data science such as machine learning, big data, network data, forecasting, computational statistics, high-dimensional statistics andinferential modeling although excellent candidates with other expertise in data science related to sciences and engineering are encouraged to apply as well.


The successful candidate will have a doctoral degree in Computer Science with publications in top Statistics and Computer Science journals/conferences, or a doctoral degree in Statistics with publications in top Computer Science and Statistics journals/conferences. Moreover, experience in interdisciplinary research and a strong publication record commensurate with the level of the post he/she applies for are expected. For senior positions, the evidence of track record in successful attracting external funding and independent research is essential. 

Applicants should apply here https://stat.kaust.edu.sa/Pages/data-science.aspx. Inquiries on the position should be sent to datasci@kaust.edu.sa

Applications will be evaluated as soon as they are received, and taken into consideration until the position is filled. Applications received by January 31, 2018, are guaranteed consideration.

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