Post-doctoral Research Associate in Bayesian Machine Learning for Climate and Health Data | Emirates Aviation University

Job Overview

  • Date Posted
    March 14, 2026
  • Expiration date
    May 13, 2026
  • Qualification
    Doctorate Degree
  • Open Until Filled
    Yes

Job Description

The Faculty of Mathematics and Data Science at Emirates Aviation University (EAU) invites applications for a Post-doctoral Research Associate position in Bayesian Machine Learning, with a focus on modelling complex spatial and temporal climate data. This is a fixed-term position for 3 years, starting on 1st October or as mutually agreed.

Position Overview:
The successful candidate will join the Faculty of Mathematics and Data Science in Dubai, contributing to cross-disciplinary projects by developing novel multivariate statistical and computational methods tailored to complex climate change and health-related data. The research approach is centred on probabilistic Bayesian machine learning models and methods that integrate heterogeneous, complementary climate, environmental, and health data.

Key Responsibilities:

Model Development:

  • Focus on advancing machine learning frameworks designed to assess the impact of climate change on public health, including phenomena such as heatwaves and flooding
  • Leverage cutting-edge approaches including:
    • Gaussian processes
    • Physics-informed neural networks
    • Bayesian networks
  • Develop models and computational inference algorithms to effectively analyse and predict public health impacts of large-scale and complex climate data
  • Understand intricate relationships between climate variables and health outcomes

Predictive Model Evaluation:

  • Contribute to development of innovative techniques for comparing and assessing predictive models
  • Emphasize validating and benchmarking model predictions within the context of climate change impacts on public health

Collaboration:

  • Work closely with public health experts and other stakeholders
  • Apply developed machine learning methods to extensive datasets related to climate change impacts (heatwaves, flooding)
  • Assess and validate proposed models and methods
  • Collaborate across disciplines with researchers and stakeholders

Required Qualifications:

  • Ph.D. in statistics, mathematics, data science, or related field
  • Strong foundation in Bayesian statistics and probabilistic machine learning methods
  • Experience with advanced Bayesian models and Gaussian process models
  • Experience with mathematical modelling and multivariate statistical methods
  • Strong computational skills, including experience with Python programming
  • Collaborative mindset and ability to work across disciplines

Preferred Qualifications:

  • Prior experience in public health (advantageous but not essential)
  • Experience with climate data analysis
  • Track record of research publications in relevant fields

Application Process:
Please send resume and cover letter to:

  • recruitment@eau.ac.ae
  • vc.office@eau.ac.ae

Review of applications will begin immediately and continue until the position is filled.

About Emirates Aviation University:
Emirates Aviation University is a leading institution in aviation education, committed to academic excellence and research innovation in the UAE. The Faculty of Mathematics and Data Science advances cutting-edge research at the intersection of data science, climate science, and public health.

Location:
Dubai, United Arab Emirates

Position Start Date:
1st October or as mutually agreed

Position Duration:
Fixed term of 3 years