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Research Fellow in Data Science for Sustainable Cities
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
- 26 days holiday plus approx.16 Bank Holidays/days that the University is closed by custom (including Christmas) – That’s 42 days a year!
- Generous pension scheme plus life assurance– the University contributes 21.6% of salary.
- Health and Wellbeing: Discounted staff membership options at The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls.
- Personal Development: Access to courses run by our Organisational Development & Professional Learning team, and self-development courses including languages, Creative Writing, Wellbeing Therapies and much more.
- Access to on-site childcare, shopping discounts and travel schemes are also available.
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
Location: |
Leeds - Main Campus |
Faculty/Service: |
Faculty of Engineering & Physical Sciences |
School/Institute: |
School of Computing |
Category: |
Research |
Grade: |
Grade 7
|
Salary: |
£35,333 to £42,155
p.a.
|
Working Time: |
37.5 hours per week |
Post Type: |
Full Time
|
Contract Type: |
Fixed Term (2.5 years due to grant funding) |
Release Date: |
Wednesday 26 October 2022 |
Closing Date: |
Sunday 04 December 2022 |
Interview Date: |
Wednesday 14 December 2022
|
Reference: |
EPSCP1110 |
Downloads: |
Candidate Brief
|