Advance Explainable AI research in Kimberley, Northern Cape, using model interpretability and deep learning expertise. Develop more transparent, understandable, and trustworthy AI systems.

This Senior AI Researcher role focuses on theoretical and practical advances in Explainable AI. You will develop novel methods, evaluate techniques across machine learning models, and publish research findings. The position suits an accomplished researcher with a solid academic background and proven contributions to XAI.

Key Responsibilities:

- Conduct advanced Explainable AI research on interpretability, transparency, and fairness
- Design and evaluate XAI techniques for deep neural networks
- Publish findings in leading AI conferences and journals
- Develop theoretical frameworks for AI explainability




- Build tools and libraries supporting XAI applications

Requirements:

- Ph.D. in computer science, artificial intelligence, machine learning, or related field
- Strong publication record focused on Explainable AI
- Deep understanding of machine learning and deep learning models
- Expertise with LIME, SHAP, attention mechanisms, and concept-based explanations
- Strong Python and TensorFlow or PyTorch programming skills

Apply advanced research, XAI techniques, and deep learning knowledge to strengthen trustworthy AI systems in Kimberley.

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📌 Senior Explainable AI Researcher (Canada)
🏢 Placements24
📍 Canada