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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:

  • A new laboratory space in the new Sir William Henry Bragg Building of School of Computing, links to water@leeds and Virtuocity, an immersive, “human in the loop”, simulation and visualisation facility. 
  • An exceptional European network of partners with access to novel real-world data, funded visits and support for field test studies. You will also work in close connection with a UKRI Future Leaders Fellowship team with established collaborations in industry and cities. 
  • Novel training programmes at University of Leeds including opportunities for enhancing interdisciplinary research via the Crucible programme or pathways to commercialization and business engagement via the Michael Beverley Innovation Fellowship

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: 

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  

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