The Computer Science (CS) program of the Computer, Electrical, and Mathematical Sciences and Engineering (CEMSE) Division at King Abdullah University of Science and Technology (KAUST) invites applications for faculty positions at all ranks in bioinformatics or data science/artificial intelligence for life science.
Successful candidates should have a Ph.D. in Computer Science or related fields, as well as a strong publication record in the top-tier venues of their respective areas. The KAUST CS program offers a unique combination of an intellectually stimulating environment and access to world-class facilities, including KAUST’s 5 Petaflop/s Shaheen-2 supercomputer. KAUST's unique funding and organizational structure allows faculty to prioritize their research program over other professional activities.
KAUST (https://www.kaust.edu.sa) 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 offers superb research facilities, generous assured research funding, and internationally competitive salaries, attracting top international faculty, scientists, engineers, and students to conduct curiosity-driven and goal-oriented research to address the world’s pressing scientific and technological challenges.
Application packages should include:
Because of the high volume of applications that we receive, only applications submitted through the online form will be considered. Applications will be evaluated as soon as they are received, and will receive full consideration until the positions are filled.
|Title||Faculty Positions in Bioinformatics and Data Science/Artificial Intelligence for Life Science|
|Employer||King Abdullah University of Science and Technology (KAUST)|
|Job location||King Abdullah University of Science and Technology, Thuwal|
|Published||April 23, 2019|
|Job types||Professor,   Assistant / Associate Professor  |
|Fields||Bioinformatics,   Artificial Intelligence,   Computing in Mathematics, Natural Science, Engineering and Medicine,   Data Mining,   Data Structures  |