Post-doctoral Research Associate in AI and Bayesian Machine Learning for Sustainable Transport Systems

Job Title: Post-doctoral Research Associate in AI and Bayesian Machine Learning for Sustainable Transport Systems

Project: Mapping and Modelling the Sustainability of Dubai’s Transport System (Dubai RDI-funded)
Duration: Fixed term of 2 years
Start date: 1 April 2026
Location: Emirates Aviation University, Dubai

Position Overview

The successful candidate will join the Faculty of Mathematics and Data Science at Emirates Aviation University in Dubai, contributing to cross-disciplinary research through the development of AI-driven and uncertainty-aware modelling approaches for sustainable urban transport systems. The role involves integrating transport, environmental, and climate-related data within a systems-based decision-support framework to enable robust, policy-relevant scenario analysis.

Key Responsibilities

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.

Assist in translating technical findings into clear, accessible insights for non-technical stakeholders.

Qualifications

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.

Application Process

Applicants should submit a CV and a short cover letter to [email protected]. Applications will be reviewed on a rolling basis.