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The Division of Physical Science and Engineering at King Abdullah University of Science and Technology (KAUST), Saudi Arabia, invites applications for Postdoctoral fellow in Mechanical Engineering
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computational skills, where applicable. Salary and other employment conditions USD $ 5,000 (tax-free) Monthly for a 2-3 year contract. Housing allowance equivalent to 3 months' salary 30 days paid annual vacation
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doing so, we will also establish a long-term, market-based monitoring program, generating real-world data to inform smarter, fairer, and more sustainable management of reef fisheries worldwide. We
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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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of aquatic foods across time and space (using global and regional datasets). Contribute to the design and implementation of a long-term monitoring program, including: Sampling aquatic foods for nutrient
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One postdoctoral position is currently available at King Abdullah University of Science and Technology (KAUST) for a collaborative project with a starting date of April 1, 2020. The candidate will be involved in the three-year project “High Dimensional Hierarchical Optimization methods for...
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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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Applicants must have a PhD in Computer Engineering, Computer Science, or Electrical and Computer Engineering, and have published their research in prestigious conferences and journals in related
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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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-inspired approaches for modeling, designing, and predicting the response of composite systems. Responsibilities: Develop AI approaches for predictive multi-physics response of composites in Energy