Machine Learning For Air Pollution Prediction
(Reference No. PD/02-2022)
A dynamic and innovative post-doctoral position is available at the Sol Plaatje University (SPU) Risk and Vulnerability Science Centre (RVSC) in the fields of computer, data and environmental sciences.
Bringing together skills and content areas within a multi-discplinary environment including computer science, data science and earth science, the fellow will work in a national and regional context on the following aspects:
- Proposing machine learning/deep learning models that can do spatiotemporal prediction of air quality and can be useful for timely forewarning and control of pollutants
- Developing a new system that uses ML techniques with a higher prediction accuracy of air quality
- Developing a web-based Geospatial-Intelligence System (GIS) prototype that will serve as an interface to the users for getting responsive best navigation path for their open-air events like driving, biking, sprinting, exercising, trekking, and others
- Assessing the performance of the proposed models using state-of-the-art performance measures
The fellow will register and work under the supervision of Dr Ibidun Obagbuwa in the Department of Computer Science and Information Technology, but will also engage with researchers and academics in the School of Natural and Applied Sciences.
Please click on the below link for detailed application information and to download the application form.
Advert – RVSC Post-Doctoral Research Fellowship Air Pollution (2022 – 2023)
Applications close on 25 April 2022 at 17:00.
