Overview
This is an exciting opportunity for a postdoctoral researcher to join a collaborative project at the University of Sheffield, focusing on the application of machine learning to air pollution data analysis in Kampala. The project is funded by the EPSRC and aims to develop innovative methodologies to understand and mitigate air pollution challenges.
Background & Relevance
The intersection of machine learning and environmental science is increasingly significant as cities around the world grapple with air quality issues. By employing advanced statistical and computational techniques, researchers can gain insights into pollution sources and develop effective intervention strategies. This project specifically addresses the urgent need for data-driven solutions in developing countries, highlighting the role of technology in global environmental challenges.
Key Details
- Closing date: 19 September 2019
- Start date: As soon as possible
- Location: University of Sheffield, UK
- Project collaboration: University of Makerere
- Funding: EPSRC Global Challenges Research Fund
- Application link: Apply here
Eligibility & Participation
This position is ideal for candidates who hold a PhD in statistics or theoretical/computational physical sciences. Experience in machine learning is preferred, making this role suitable for individuals looking to apply their expertise in a real-world context.
Submission or Application Guidelines
Interested candidates should follow the application link provided to submit their application. Ensure that all required documents are prepared and submitted before the closing date.
Additional Context / Real-World Relevance
The project aims to enhance understanding of air pollution dynamics through the development of Gaussian process models that integrate physical knowledge about pollution dispersion. This research not only contributes to academic knowledge but also has practical implications for public health and environmental policy in urban settings.
Conclusion
This postdoctoral position presents a unique chance to engage in impactful research that combines machine learning with environmental science. Researchers interested in contributing to this vital area are encouraged to apply and be part of a project that aims to make a significant difference in addressing air pollution challenges in developing countries.
Category: PhD & Postdoc Positions
Tags: machine learning, air pollution, postdoc, University of Sheffield, Gaussian processes, Kampala, EPSRC, data analysis, environmental science
