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King Abdullah University of Science and Technology (KAUST) invites applications for a Research Engineer position in the field of Applied Artificial Intelligence and Internet of Things (IoT). The successful candidate will join the Integrated Intelligent Systems (I2S) Lab , led by Prof. Gianluca...
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, numerical simulators with coupled physics (flow/reactive/geo-mechanics/thermal) have been developed and often applied to predict the long-term fate of the injected carbon dioxide to ensure its secure
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Fellowship Program supports outstanding early-career scientists and engineers from around the world. Fellows receive funding to pursue independent, cutting-edge research at KAUST for three years. Selection is
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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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experience in agronomy, soil science, engineering methods, and precision agriculture in semi- and hyper-arid regions. Specifically, we will be testing the effects of soil amendment technologies pioneered by
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King Abdullah University of Science and Technology (KAUST) invites applications for a Postdoctoral Researcher position in the field of Applied Artificial Intelligence and Internet of Things (IoT). The successful candidate will join the Integrated Intelligent Systems (I2S) Lab , led by Prof....
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integration methods for the different data types. In terms of applications, the candidate will be free to choose their own case study(s). Additionally, close collaboration with other group members is expected
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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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is to develop a modeling framework including the use of Random-Walk method to predict NMR measurements, pore-scale finite-element modeling on 3D digital models, generated from CT-images to predict
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, SHS, moisture absorbing polymers, etc.) and varying fertilizer and irrigation regimes. Experience in statistical methods is a huge plus. Ability to quickly test hypotheses via pot-scale studies