57 phd-in-computer-vision positions at King Abdullah University of Science and Technology
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holding a PhD in chemical, environmental or process engineering, to apply for a full-time post-doctoral fellowship position in the field of water desalination, focusing on the development of an artificial
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project include two aspects: (1) based on the cutting-edge technologies from deep learning, computer vision or physics-informed machine learning, develop robust surrogate forward models to predict
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The AI Lecturer will play a crucial role in supporting the delivery of high-impact Artificial Intelligence (AI) training programs offered by KAUST Academy. This position involves delivering engaging and practical AI instruction to a diverse range of participants, including government sector...
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research in the field of machine learning, more specifically, deep learning and representation learning architectures. Application areas of ML include, but are not limited to, computer vision, natural
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computational resources. It is the leading university in citation per faculty according to the QS Rankings. Further information can be found at www.kaust.edu.sa .
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of bioinformaticians, computer scientists, biotechnologists, biologists, and biochemists. The successful candidate will also enjoy an environment aimed to facilitate progress in the research career: networking, student
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for chemical and morphological characterization. The candidate should preferentially have a PhD in chemistry, polymer science, or membrane preparation and characterization. Besides the salary (contract of 2
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The Bioscience Program in the Biological and Environmental Science and Engineering (BESE) Division at King Abdullah University of Science and Technology (KAUST) is launching a significant initiative
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The Field Engineer will support the development and deployment of a laser-based system. This role requires hands-on prototyping, electronics development, and software integration for real-time sensing and control. The candidate should have strong field experience, be comfortable working in...
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As part of a major initiative to strengthen its research in marine science, the Marine Science Program (MarS) in the Biological and Environmental Science and Engineering (BESE) Division at KAUST is