Postdoctoral Researcher / Research Scientist (Computer Vision & AI for Infrared Imaging)

KAUST; Saudi Arabia; On-site; SAR 180,000 - 240,000; Full time

Benefits offered by this job

Competitive salary

Interdisciplinary work

Job summary

KAUST in Thuwal, Saudi Arabia invites applications for postdoctoral positions in the Physical Science and Engineering Division (Material Science and Engineering) focusing on AI-driven analytics for real-time monitoring in solar panels and battery systems.

Applicants should hold a PhD (Postdoc) or MSc/PhD in CS/EE/Applied Mathematics or related fields, with strong background in computer vision, deep learning (PyTorch, TensorFlow), and Python.

Qualifications

• PhD (Postdoc) or MSc/PhD in Computer Science, Electrical Engineering, Applied Mathematics or related field.
• Strong expertise in computer vision and image processing.
• Deep learning with PyTorch or TensorFlow.
• Proficiency in Python and standard ML libraries.
• Demonstrated ability to develop practical deployable models.

Responsibilities

• Develop computer vision and deep learning algorithms for image-based detection.
• Implement data fusion and image analysis pipelines for scientific/engineering applications.
• Build scalable and real-time inference workflows.
• Collaborate with multidisciplinary teams (materials, devices, and systems).
• Contribute to publications, reports, and student supervision.

Skills

Computer vision

Deep learning

Python

Data analysis

Education

PhD (Postdoc) or MSc/PhD

Tools

PyTorch

TensorFlow

Job description

King Abdullah University of Science and Technology: Postdoc Positions: Physical Science and Engineering Division (postdoc): Material Science and Engineering (postdoc)

Location

King Abdullah University of Science and Technology (KAUST)

Open Date

Apr 08, 2026

Deadline

Oct 08, 2026 at 11:59 PM Eastern Time

Description

Development of an AI-driven analytics framework for real-time monitoring. The role focuses on algorithm development, data fusion, and deployment for anomaly detection in solar panels and battery systems.

Key Responsibilities

• Develop computer vision and deep learning algorithms for image-based detection.
• Implement data fusion and image analysis pipelines for scientific/engineering applications.
• Build scalable and real-time inference workflows.
• Collaborate with multidisciplinary teams (materials, devices, and systems).
• Contribute to publications, reports, and student supervision.
• Postdoctoral Researcher or Research Scientist (depending on experience)
• Competitive salary and research environment
• Based at KAUST with interdisciplinary collaboration

Qualifications

• PhD (Postdoc) or MSc/PhD (Research Scientist) in Computer Science, Electrical Engineering, Applied Mathematics, or a related field.
• Strong expertise in:
• Computer vision and image processing
• Deep learning (e.g., PyTorch, TensorFlow)
• Data-driven modeling and analysis
• Proficiency in Python and standard ML libraries.
• Demonstrated ability to develop practical, deployable models.

Preferred Qualifications

• Experience with scientific imaging or multimodal data.
• Background in real-time systems, embedded/edge AI, or sensor data analysis.
• Familiarity with defect detection or monitoring systems.