King Abdullah University of Science and Technology (KAUST) is seeking to revolutionize sports analytics through cutting-edge artificial intelligence and computer vision. The SoccerNet project aims to extract actionable insights from sports data in real-time, enhance decision-making for athletes and coaches, and improve fan engagement through advanced AI models.
Requirements
- Background in Artificial Intelligence, Computer Vision, or Deep Learning
- Experience publishing research papers in top-tier conferences or journals
- Demonstrated interest in sports analytics and next-generation AI (multi-modal, explainable, agentic)
- Strong programming and analytical skills
Responsibilities
- Harnessing cutting-edge artificial intelligence and computer vision to revolutionize the world of sports analytics
- Contributing to high-impact research that shapes the future of sports technology
- Developing and utilizing large-scale datasets and benchmarks
- Creating and validating state-of-the-art AI and CV algorithms
- Pushing boundaries into next-generation domains such as foundation models, multi-modal AI, explainability, and agentic AI
- Contributing tools and resources to the broader research community
- Extracting actionable insights in real time
Other
- Collaborate with global leaders
- Ability to work collaboratively in an international team environment
- Curriculum Vitae (CV)
- Motivation Letter
- Research Statement
