Post-doctoral Research Associate in AI and Bayesian Machine Learning for Sustainable Transport Systems
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About the Role
Project Overview: The successful candidate will join the Faculty of Mathematics and Data Science at Emirates Aviation University (EAU) as part of the Dubai RDI-funded project “Mapping and Modelling the Sustainability of Dubai’s Transport System.
Key Skills for This Role
Full Job Posting
Project Overview
The successful candidate will join the Faculty of Mathematics and Data Science at Emirates Aviation University (EAU) as part of the Dubai RDI-funded project
*“Mapping and Modelling the Sustainability of Dubai’s Transport System.”*
The role focuses on developing AI-driven, uncertainty-aware models to support sustainable and resilient urban transport planning.
The candidate will design and validate data-driven models integrating transport, environmental, and climate data within a decision-support framework.
Success in the role will be demonstrated through high-quality research outputs, robust modelling, and effective collaboration with interdisciplinary teams to deliver policy-relevant insights aligned with Dubai’s sustainability and innovation goals.
Duration
Fixed term of 2 years
Start date:
Responsibilities
- Develop and implement AI- and data-driven models for analysing and forecasting sustainability and resilience in urban transport systems.
- Integrate heterogeneous datasets (e.g., transport, environmental, climate, and behavioural data) into unified modelling frameworks.
- Perform model calibration, validation, and sensitivity analysis to ensure robustness and reliability of results.
- Conduct scenario analysis to evaluate the impact of policy interventions and infrastructure changes on transport sustainability.
- Collaborate with interdisciplinary teams, including domain experts and stakeholders, to ensure alignment with real-world applications and policy needs.
- Translate complex modelling outputs into clear, accessible insights and visualisations for non-technical stakeholders.
- Contribute to academic publications, technical reports, and project deliverables.
- Support the development of scalable and reproducible computational workflows.
Education
- PhD in Data Science, Statistics, Computer Science, or a closely related discipline.
Skills And Expertise
- Strong background in machine learning, probabilistic modelling, or statistical inference.
- Experience with uncertainty quantification, simulation, or systems modelling is highly desirable.
- Proficiency in Python and relevant data science libraries (e.g., NumPy, Pandas, PyTorch, TensorFlow, or similar).
- Ability to work with large, complex, and multi-source datasets.
- Strong analytical and problem-solving skills with attention to methodological rigour.
Experince
- Demonstrated experience in computational modelling or applied data science projects.
- Experience working in interdisciplinary research environments is advantageous.
- Prior experience in transport, environmental systems, or sustainability-related applications is desirable but not essential.
Personal Attributes
- Ability to communicate complex technical concepts clearly to diverse audiences.
- Strong collaborative mindset and ability to work effectively within a team.
- Self-motivated with the ability to manage tasks and meet project deadlines.
Application Process
Applicants should submit a CV and a short cover letter to recruitment@eau.ac.ae
, with a copy to alireza.daneshkhah@emirates.com.
Applications will be reviewed on a rolling basis.
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