On-site Full Time
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Kuwait Foundation for the Advancement of Sciences (KFAS)

Job Details

The following announcement is for a position within the Kuwait National Space Research Centre (KNSRC), a department within KFAS.
The following announcement is for a position within the Kuwait National Space Research Center (KNSRC), a department within KFAS. Qualifications & Experience:Bachelor's Degree in Data Science, Computer Science, Artificial Intelligence / Machine Learning, Software Engineering, Information Systems, or a related field (with recognition by the relevant Ministry of Higher Education). Minimum of 6 years of experience in the same or related field Proficient in English and Arabic. Key Accountabilities: Lead the development, implementation, and maintenance of big-data pipelines for processing satellite data, sensor outputs, atmospheric measurements, mission telemetry, and other scientific datasets. Oversee the design, enhancement, and effective use of scalable analytics platforms and data architectures aligned with KNSRC’s technological and operational requirements. Ensure data pipelines, storage environments, integration mechanisms, and processing frameworks support reliability, accessibility, security, and long-term sustainability. Guide the optimization of compute resources, data workflows, and platform performance to improve operational efficiency and research effectiveness. Lead the development and application of AI, machine learning, and advanced analytical models to support research in space physics, Earth observation, climatology, and space-weather forecasting. Oversee the development of computational tools, algorithms, and automated analytical methods that support KNSRC’s scientific and operational activities. Guide the use of predictive and analytical models to strengthen scientific interpretation, forecasting capability, and data-driven decision-making. Provide data analytics frameworks, computational tools, and technical support for researchers, graduate students, and KNSRC scientific teams. Support the use of processed data, analytical environments, and model-driven insights in research, scientific studies, and operational activities. Oversee support for mission planning, telemetry analysis, payload-related assessment, and instrument calibration through simulation environments, automated data processing, and AI-assisted analysis, as applicable. Guide the development of dashboards, visualizations, public-facing products, and educational datasets that enhance scientific communication and national awareness of Kuwait’s space capabilities. Oversee data integration, validation, and quality control activities to ensure clean, reliable, and usable datasets for scientific and operational use. Guide the application of data standards, validation checks, and technical controls across data pipelines, platforms, and analytical outputs. Coordinate with relevant internal stakeholders to align data, analytics, and AI activities with research, mission, educational, and organizational needs. Establish and maintain collaboration with academic institutions, international research institutions, space agencies, data providers, technology providers, cloud platforms, and relevant private-sector AI / data firms to support data access, algorithm development, and joint technical initiatives. Support joint modeling, analytics, data-sharing, and technical cooperation activities with relevant partners, as applicable.
Required Documents:Curriculum Vitae (CV). Copy of Civil ID. Certificate of insured service periods issued by the Public Institution for Social Security (PIFSS), dated on or after the announcement date. Academic certificate(s) and transcript(s), including the final graduation GPA. Equivalency of the academic certificate(s) from the Ministry of Higher Education, and Authentication of the transcript(s) for graduates of universities other than Kuwait University.
DISCLAIMER: Applications that do not meet the requirements or fail to submit all required documents within the announcement period will not be considered.

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About Kuwait Foundation for the Advancement of Sciences (KFAS)
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