|Salary:||£35,333 to £42,155 p.a.|
|Placed On:||27th October 2022|
|Closes:||4th December 2022|
Are you eager to work as a data scientist to make cities more sustainable? Are you fascinated to work with cutting-edge data science techniques to understand and eliminate sources of water contamination that affect public health?
This is an opportunity to work for the H2OforAll EU project and be part of a creative team in the Distributed Intelligent Social Computing lab and in synergy with water@leeds. The goal of this project is to assess sources of drinking water pollutants (Disinfection ByProducts - DBPs) by developing suitable analytical techniques for monitoring such compounds, modelling their spreading through drinking water supply systems and evaluating their environmental and public health impact.
Using data-driven evidence, you will propose measures to safeguarding drinking water supply and breakthrough water treatments systems that remove or prevent the formation of water pollutants. Through your data science skills, you will create significant impact on increasing public and policy-makers’ awareness by designing data-driven policy responses and guidance.
The research project is well-resourced and designed to offer exceptional access to networking, training and career development opportunities including:
What we offer in return
And much more!
To explore the post further or for any queries you may have, please contact:
Dr Evangelos Pournaras, Associate Professor
Tel: +44 (0)113 343 5447 or email: E.Pournaras@leeds.ac.uk
Type / Role: