Real-Time AI Scientist: Solar & Battery Analytics

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

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.