Postdoctoral Associate - Personalization & Recommendation

PhD in Computer Science Machine Learning or a related field with a focus on Recommender Systems Personalization Information Retrieval or Data Mining.

Minimum:

• Strong understanding of machine learning techniques relevant to personalization and user modelling.
• Hands-on experience with Retrieval-Augmented Generation (RAG) models including integrating external knowledge sources to improve model performance.
• Experience in developing and evaluating recommendation systems.
• Familiarity with techniques like collaborative filtering content-based filtering sequence modeling and reinforcement learning for recommendations.
• Proficiency in working with deep learning frameworks.
• Expert knowledge in latest research on recommender systems and personalization .
• Track record of relevant publications in leading NLP/ ML conferences or journals.
• Excellent communication and collaboration skills.

Preferred:

• Experience with applying recommendations in conversational AI or chatbot settings.
• Knowledge of causal inference or counter-factual reasoning techniques .
• Experience with A/B testing and online evaluation of recommendation systems.
• Familiarity with economic principles related to pricing and upselling.
• Experience working in collaborative multi-disciplinary research projects.

What we offer:

• Opportunity to work on a high-impact industry-relevant research project.
• A stimulating research environment at MBZUAI with leading experts in AI.
• Competitive compensation and benefit package aligned with top-tier academic markets.
• Opportunities for professional development and conference travel.

Required Experience:

IC