15 site-response Postdoctoral positions at King Abdullah University of Science and Technology in Saudi Arabia
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essential step of the entire hydrogen chain. Owing to their light weight, high specific strength, good fatigue response, and dimensional stability, the use of fiber-reinforced plastic pressure vessels for
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family of printable high-gauge factor wireless sensors by building and extending our related background intellectual property. Responsibilities : Collaborate with the development of a new family of RFID
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of lithium-ion battery recycling. The focus of this position is on material recovery from cathode materials through a groundbreaking filtration and extraction processes. Key Responsibilities: Participate in
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technologies. Key Responsibilities: Develop and optimize hard carbon synthesis processes using bio-based and non-bio-based precursors. Explore innovative methods to enhance material properties for energy storage
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, Sputtering or MOCVD systems for microelectronics and emerging sensor technologies. Key Responsibilities: Develop and optimize wafer-scale 2D materials, including TMDCs, MXenes, and MOFs, for microelectronics
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groundbreaking filtration and extraction processes. Key Responsibilities: Participate in and lead the development of lithium-ion battery recycling technologies. Develop advanced separation technologies including
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supervision, and project management. We will consider tasks and responsibilities based on seniority and experience. The BESE Division at KAUST offers a unique combination of an intellectually stimulating
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or non-bio-based sources, with applications in energy storage and other emerging technologies. Key Responsibilities: · Develop and optimize hard carbon synthesis processes using bio-based and non-bio
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to the highest standards. They are well organized, can manage multiple project workflows simultaneously, and report well-curated high-quality data in a timely manner. Your primary responsibilities include cellular
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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