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About the Role The End User Computing Analyst provides technical support for KAUST faculty, staff, and departments by diagnosing, resolving, and preventing hardware, software, and end-user
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. Enforce security best practices including node hardening, kernel patching, and compliance across all systems. Manage parallel file systems such as Lustre, GPFS, Weka, or Vast, including performance
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nodes including parallel filesystems and high-performance network. This is partly technical and partly people leading role which involves supervision of 3-4 experienced HPC system administrators. The
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computing, quantum communication, quantum sensing, and quantum simulation. The successful candidate will develop novel quantum systems and algorithms, exploring qubit design, quantum error correction, and
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 9 hours ago
, Applied Probability, Quantum Computing, and Digital Twins. The AMCS program ( https://amcs.kaust.edu.sa ) contributes to developing mathematical frameworks and methodologies to foster economic prosperity
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About the Role The Technology Support Lead ensures that the university’s classroom technologies, collaboration platforms, and end-user computing environments reliably support teaching, learning
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 9 hours ago
. Priority will be given to candidates in the areas of Artificial Intelligence and Machine Learning, Systems for AI, Resilient Computing and Cybersecurity. The CS program ( https://cs.kaust.edu.sa
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. Where to apply Website https://apply.interfolio.com/193295 Requirements Research Field Engineering » Mechanical engineering Education Level PhD or equivalent Research Field Engineering » Materials
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 9 hours ago
technologies that support scalable discovery, validation, and real-world implementation. Candidates who can build reusable capability at scale are encouraged, including methods, datasets, tools, or shared
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engineering pipelines to support AI research workflows. Design and implement efficient AI workflows optimized for KSL's high-performance computing environment. Build and maintain secure, OCI-compliant