Post-doctoral Research Associate in Bayesian Machine Learning for Climate & Health Data Faculty of Mathematics & Data Science | Emirates Aviation University | Dubai

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Job Overview

Job Description

Position Overview

Emirates Aviation University (EAU) invites applications for a Post-doctoral Research Associate specializing in Bayesian Machine Learning for climate and health data modeling. This 3-year fixed-term role (starting 1st October or negotiable) focuses on developing cutting-edge probabilistic models to analyze climate change impacts on public health, including heatwaves and flooding.

Key Responsibilities

Advanced Model Development

  • Design Bayesian machine learning frameworks (e.g., Gaussian processes, physics-informed neural networks) to analyze climate-health relationships.
  • Develop computational algorithms for large-scale spatial/temporal climate data.

Predictive Analytics & Validation

  • Innovate techniques for model benchmarking and validation of climate-health predictions.

Interdisciplinary Collaboration

  • Partner with public health experts to apply models to real-world datasets.

Qualifications

Essential:

  • PhD in Statistics, Mathematics, Data Science, or related field.
  • Expertise in Bayesian statistics, probabilistic ML, and Gaussian process models.
  • Strong Python programming skills.

Preferred (but not required):

  • Experience with public health/climate data.
  • Background in multivariate statistical methods.

Why Join Emirates Aviation University?

  • Lead high-impact research at Dubai’s premier aviation-focused institution.
  • Collaborate across climate science, public health, and AI.
  • Competitive remuneration and academic growth opportunities.

How to Apply

📩 Submit your CV + cover letter to:

Applications reviewed on a rolling basis. Early submission encouraged.

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