Data analysis/processing, Data collection procedures, Statistics Educator
Faculty Position in Statistical Data Science
King Abdullah University of Science and Technology: Faculty Positions: Computer, Electrical and Mathematical Science and Engineering Division: Statistics
Location KAUST, Thuwal, Saudi Arabia
Open Date Nov 8, 2018
Description The Computer, Electrical, and Mathematical Sciences and Engineering Division at King Abdullah University of Science and Technology (KAUST) invites applications for one faculty position in Statistical Data Science at any level (Assistant, Associate, or Full Professor) beginning in the Fall of 2019. 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.
This faculty position is in the Statistics Program (http://stat.kaust.edu.sa) within the Computer, Electrical, and Mathematical Sciences and Engineering Division. Currently, the Statistics Program has 5 core faculty and 9 affiliated faculty. We are interested in applicants with background in modern statistical data science such as AI, machine learning, big data, network data, forecasting, computational statistics, computer experiments, high-dimensional statistics and inferential modeling although excellent candidates with other expertise in statistical data science related to sciences and engineering are encouraged to apply as well.
The successful candidate will have a doctoral degree in Statistics or other relevant fields with publications in top Statistics journals and subject-matter 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. Women candidates are especially encouraged to apply.
Applicants should apply at http://apply.interfolio.com/57576 Inquiries on the position should be sent to firstname.lastname@example.org Applications will be evaluated as soon as they are received, and taken into consideration until the position is filled. Applications received by January 31, 2019, are guaranteed consideration.