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

is hiring a Post-doctoral Research Associate in 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 Bayesian Machine Learning for Climate and Health Data. Additionally, this fixed-term position of 3 years offers a unique opportunity to contribute to cutting-edge research at one of the UAE’s leading aviation-focused academic institutions.

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 projects by developing novel multivariate statistical and computational methods tailored to complex climate change and health-related data. Moreover, the research approach is centred on probabilistic Bayesian machine learning models and methods that integrate heterogeneous, complementary climate, environmental, and health data. In addition, the position starts on 1st October or as mutually agreed.

Key Responsibilities for Post

• Develop and advance machine learning frameworks designed to assess the impact of climate change on public health
• Lead research on cutting-edge approaches including Gaussian processes, physics-informed neural networks, and Bayesian networks
• Analyse and predict the public health impacts of large-scale and complex climate data
• Contribute to the development of innovative techniques for comparing and assessing predictive models
• Validate and benchmark model predictions within the context of climate change impacts on public health
• Collaborate with public health experts and stakeholders to apply developed machine learning methods to extensive datasets
• Support the assessment and validation of proposed models and methods
• Develop computational inference algorithms to effectively process complex climate and health data
• Publish research findings in high-impact peer-reviewed journals

Requirements

• Ph.D. in Statistics, Mathematics, Data Science, or a closely related field
• Strong foundation in Bayesian statistics and probabilistic machine learning methods
• Experience with advanced Bayesian models, Gaussian process models, and mathematical modelling
• Proficiency in multivariate statistical methods
• Strong computational skills, including experience with Python programming
• A collaborative mindset and the ability to work effectively across disciplines