Postdoctoral Associate - Personalization & Recommendation

Description

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is the world’s first AI focused university. Founded in 2020, MBZUAI started as a research-oriented graduate level university that has grown to host over 80 world-class faculty, over 330 graduate-level students, and is already ranked in the world’s top 25 by CSRankings for AI-related fields. Located in Abu Dhabi, the university aims to become a global leader in AI education and research by providing cutting-edge programs in Artificial Intelligence, empowering students to shape the future of technology. MBZUAI is committed to fostering innovation, collaboration, and ethical practices in AI to address global challenges.

About the role:

This project is a collaboration between MBZUAI and a Major Industry Partner in the UAE that aims to create a state-of-the-art Conversational Booking Agent. The agent will integrate with existing company systems, engage users naturally and effectively in English (with future expansion to Arabic), ensure safety and reliability, and provide personalized recommendations. This position focuses on the core natural language processing and developing conversational capabilities of the agent.

The Postdoctoral Research Scientist in Recommendation & Personalization will focus on finding optimal offers based on user behaviour. This involves leveraging user interaction history, building user profiles, integrating external knowledge sources, and working with techniques like knowledge graphs, RAG (Retrieval-Augmented Generation), grounding information for accuracy and exploring the use of causal reasoning to offer timely and relevant suggestions that enhance user value and align with business objectives.

Key Responsibilities:

• Design and implement algorithms for personalized product/service recommendations and upselling within a conversational context.
• Explore and utilize techniques like Knowledge Graphs and Retrieval-Augmented Generation (RAG) to ground recommendations and provide contextually relevant information (e.g., visa requirements, local attractions).
• Investigate the use of counter-factual reasoning or causality frameworks to understand why certain recommendations are effective and to improve strategy.
• Design an infrastructure to continually learn from new data to improve recommendations made to the user.
• Integrate recommendations with the NLP engine, mitigate hallucinations and ensure the information provided is accurate.
• Work with data scientists and engineers to integrate recommendation modules with user data sources and backend systems (e.g., pricing engines, loyalty programs).
• Design and conduct experiments to evaluate the effectiveness of different recommendation and upselling strategies.
• Publish research findings in top-tier conferences and journals.

Qualifications

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.

Application Instructions

Interested candidates should submit the following:

• Cover letter
• Current Curriculum Vitae (C.V.)
• Link to Google Scholar
• Statement of research vision and interests (optional)

Applications will be reviewed on a rolling basis, and the position will remain open until filled.

For more information or to apply, please visit MBZUAI Careers or contact us directly at NLP.IndustryProject@mbzuai.ac.ae

Equal Employment Opportunity Statement

Mohamed bin Zayed University of Artificial Intelligence shall abide by the requirements of 41 CFR §§ 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, national origin, protected veteran status or disability.