28 bio-inspired-computing uni jobs at King Abdullah University of Science and Technology in Saudi Arabia
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The Head of the KGSP oversees Saudi Arabia's most important STEM scholarship for the nation's highest-performing students. The KGSP is not only a crucial strategic source of Saudi talent for KAUST but also the strongest pipeline of talented scientists, innovators, and thought leaders for Saudi...
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Education: Ph.D. or M.S. in Computer Science, AI, Computer Vision, or related field Experience: 3+ years in computer vision and deep learning, with specific focus on microscopic imaging, generation
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We invite applications for a faculty position in computational science and engineering with a focus on geophysics or fluid dynamics, as well as machine learning with one of the following experiences
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The Bioengineering (BioE) Program in the Biological and Environmental Science and Engineering (BESE) Division at King Abdullah University of Science and Technology (KAUST) bridges the University’s
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The VCC center at KAUST is looking for research scientists in Prof. Wonka's research group. The topics of research are computer vision, computer graphics, and deep learning. A suitable candidate
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The Statistics (STAT) program in the Computer, Electrical, and Mathematical Sciences and Engineering Division (https://cemse.kaust.edu.sa) at King Abdullah University of Science and Technology
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includes establishing and implementing an Energy Conservation and Sustainability Program. The Senior Operations Engineer is also responsible for ensuring customer satisfaction and optimal performance with
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and Research Program, Reef Restoration Initiative, and a consultancy arm dedicated to providing expert services on marine and dive projects to The Kingdom. The dive safety program includes ~200 divers
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stakeholders, the role ensures high-quality curriculum design, alignment with emerging technologies, and impactful program outcomes that contribute to national talent development and lifelong learning objectives.
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optimization of large-scale, multiscale, or networked chemical processes. Special emphasis will be directed toward incorporating advanced algorithms, high-performance computing, uncertainty quantification