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King Abdullah University of Science and Technology (KAUST)

Postdoctoral Researcher / Research Scientist (Computer Vision & AI for Infrared Imaging) King Abdullah University of Science and Technology (KAUST) in Saudi Arabia

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

Deadline

Oct 8, 2026

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Country

Saudi Arabia

University

King Abdullah University of Science and Technology (KAUST)

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Keywords

Computer Science
Machine Learning
Electrical Engineering
Materials Science
Deep Learning
Mathematics
Data Fusion
Image Processing
Imaging Science
Computer Vision
Python Programming
Infrared Imaging
Anomaly Detection

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About this position

King Abdullah University of Science and Technology (KAUST) is advertising a Postdoctoral Researcher / Research Scientist position focused on computer vision and AI for infrared imaging. The project aims to develop an AI-driven analytics framework for real-time monitoring, with particular emphasis on algorithm development, data fusion, and deployment for anomaly detection in solar panels and battery systems.

The role sits within KAUST’s Physical Science and Engineering / Materials Science and Engineering context and is described as an interdisciplinary research opportunity with collaboration across materials, devices, and systems. The successful candidate will develop computer vision and deep learning methods for image-based detection, build scalable real-time inference workflows, and implement data fusion and image analysis pipelines for scientific and engineering applications. In addition to research output, the position includes contributions to publications, reports, and student supervision.

Two appointment levels are mentioned: Postdoctoral Researcher or Research Scientist, depending on experience. The post offers a competitive salary and a strong research environment based at KAUST in Thuwal, Saudi Arabia.

Eligibility is geared toward applicants with a PhD for the postdoctoral track, or MSc/PhD for the research scientist track, in Computer Science, Electrical Engineering, Applied Mathematics, or a related field. Strong skills are expected in computer vision, image processing, deep learning (such as PyTorch or TensorFlow), data-driven modeling, and Python with standard ML libraries. Preference is given to candidates with experience in scientific or multimodal imaging, real-time or embedded/edge AI, sensor data analysis, and defect detection or monitoring systems.

The application deadline is 2026-10-08. Applicants should apply via the Interfolio link provided in the posting.

Funding details

Available

What's required

For the postdoctoral researcher track, a PhD in Computer Science, Electrical Engineering, Applied Mathematics, or a related field is required. For the Research Scientist track, an MSc or PhD in a related field is acceptable. Applicants should have strong expertise in computer vision and image processing, deep learning (for example PyTorch or TensorFlow), data-driven modeling and analysis, Python, and standard machine learning libraries. The role also prefers candidates who can develop practical, deployable models and who have experience with scientific imaging or multimodal data, real-time systems, embedded or edge AI, sensor data analysis, or defect detection and monitoring systems.

How to apply

Apply through the Interfolio application link. Prepare a CV and supporting documents that demonstrate your experience in computer vision, deep learning, and deployable ML systems. Submit before the deadline of 2026-10-08 23:59 Asia/Riyadh.

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