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 strong 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
Robust 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 (British Columbia)
🏢 Placements24
📍 British Columbia