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for production and trials. • Guides design finalization, tracks construction and supports commissioning of the greenhouse facilities to ensure that the delivered asset meets growing requirements. • Develops a
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, processing optimization, and experimental troubleshooting Materials characterization using techniques such as GIWAXS, Raman, FTIR, UV-vis, and electrical transport measurements Understanding structure-property
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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, HPC-ready container images
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for coffee and other fruit crops in collaboration with partner research groups. Build and maintain calibration models using the programme’s dedicated NIR modelling platform to translate spectral data
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for structural health monitoring applications. The candidate will work in a transdisciplinary environment to develop and characterize nanofiber materials, as well as to build and test sensor prototypes.
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, code review, source control, deployment, secrets management, resilience, error handling and supportability. Build and maintain an integration catalogue so KAUST can understand what integrations exist
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failures and spare part management Build effective relationships with staff, faculty and students through the Core Labs Manages multiple or significant projects which may require the use of sophisticated
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BioMed seeks exceptional candidates with a compelling record of originality, rigor, and international competitiveness, and a clear trajectory to build an impactful research program at KAUST
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engineering standards for the Linux platform team, and provide technical direction for the Windows and macOS endpoint platforms supported by the team. Lead and document build-vs-buy and tooling decisions
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, materials science, and industrially relevant processing. The candidate will lead efforts to understand structure–rheology–processability relationships, specifically focusing on interfacial phenomena