27 master "University of York" positions in Saudi Arabia

Principal Terrestrial Ecology Spclst. - 12 month contract

In this leadership role you will help drive forward our delivery of ecological consultancy, both in leading fieldwork on baseline assessments to inform research or impact assessment. You’ll manage your own projects from inception to completion, have responsibility for people and larger/more...

Fire Chief

culture and the ability to manage the risks associated with our state-of-the-art research and education. The Fire Chief within the Fire Department plays a critical role in ensuring the safety and security

Post-Doctoral Fellow in Experimental Mechanics of Composite Pipe Adhesive Joints

of Glass Reinforced Epoxy (GRE) pipelines networks, often emerging as a primary source of failure. The project aims to contribute to this global effort by studying the effect of different defects inside

POSTDOCTORAL FELLOW IN NUMERICAL SIMULATION OF FAILURE OF COMPOSITE JOINTS

engaged in student mentoring (directed research, Masters thesis students). He/She will also be in charge of developing further the facilities of the laboratory. The candidate will also be in charge of

Post-Doctoral Fellow in Composite Tanks for Compressed Hydrogen Storage

. The project will be organized around 3 main activities: • Understanding the diffusion paths and cavitation in thermoplastic liners. • Optimize the processing parameters for thermoplastic carbon-fiber walls

Associate Director - Environmental - 12 month contract

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KRRI - Data Technician - 12 Month Contract

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Dive and Boat Safety Manager

. Additionally, numerous live boards and other boats are leased where needed. While the main focus of boat operations is on the Red Sea, some work spans globally. The KAUST Boat and Dive Safety Manager will lead a

Social Media Strategist - GBC

Develop and execute social media communications, content and initiatives for KAUST's primary social platforms Oversee the content calendar for various social channels. Craft and refine copy

Research Technician / Research Specialist position in Bayesian Deep Learning at KAUST

. Appointments are for up to three years (subject to a review after the first year). Qualifications Completion or near completion of a Masters' degree in Computer Science, or related disciplines A good