Post-doctoral Research Associate in AI and Bayesian Machine Learning at Emirates Aviation University Dubai Full-time

is hiring a Post-doctoral Research Associate in AI and Bayesian Machine Learning at Emirates Aviation University Dubai in Dubai, UAE. This is a full-time position.

Looking for Post-doctoral Research Associate jobs in Dubai? Emirates Aviation University is currently hiring a Post-doctoral Research Associate in AI and Bayesian Machine Learning for Sustainable Transport Systems. Additionally, this Dubai RDI-funded position offers a fixed term of 2 years starting 1 April 2026, providing a unique opportunity to contribute to sustainability research in urban transport.

About the Role

The Post-doctoral Research Associate will join the Faculty of Mathematics and Data Science at Emirates Aviation University in Dubai. Furthermore, the successful candidate will contribute to cross-disciplinary research through the development of AI-driven and uncertainty-aware modelling approaches for sustainable urban transport systems. Moreover, the role involves integrating transport, environmental, and climate-related data within a systems-based decision-support framework to enable robust, policy-relevant scenario analysis. In addition, this position is part of the Dubai RDI-funded project on Mapping and Modelling the Sustainability of Dubai’s Transport System.

Key Responsibilities for Post

• Contribute to the development of AI- and data-driven models to support sustainability and resilience assessment in urban transport systems
• Support model calibration, validation, and scenario analysis using large and heterogeneous datasets
• Collaborate with interdisciplinary research teams to ensure alignment with real-world planning and policy needs
• Develop uncertainty-aware modelling approaches for sustainable urban transport
• Integrate transport, environmental, and climate-related data within decision-support frameworks
• Conduct robust, policy-relevant scenario analysis for Dubai’s transport system
• Translate technical findings into clear, accessible insights for non-technical stakeholders
• Publish research findings in high-impact peer-reviewed journals

Requirements

• PhD in Data Science, Statistics, Mathematics, Engineering, Computer Science, or a closely related field
• Strong expertise in machine learning, probabilistic modelling, and data-driven analysis
• Advanced computational skills, including proficiency in Python programming
• Experience working with complex datasets and computational modelling tools
• Demonstrated ability to work effectively in interdisciplinary and applied research environments