GCARE Research Fellow in Air Quality Modelling & Big Data Analysis

The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research. We are ambitious and have a bold vision of what we want to achieve - shaping ourselves into one of the best universities in the world, which we are achieving through the talents and endeavour of every employee.  Our culture empowers people to achieve this aim and to collectively, and individually, make a real difference.  GCARE founded and led by Professor Prashant Kumar, with its mission of ‘Clean Air for All’ is a globally recognised multidisciplinary centre dedicated to improving air quality and developing climate solutions worldwide.

The role

Applications are invited from enthusiastic and talented individuals at the post-doctorate research level to work at the Global Centre for Clean Air Research (GCARE; www.surrey.ac.uk/gcare), University of Surrey, UK, under the supervision of Professor Prashant Kumar. The GCARE’s research projects are funded by the UKRI (e.g., EPSRC, NERC, ESRC, Innovate UK), numerous national and international funding bodies (e.g., EU H2020, British Council, UKIERI) and the industry. 

We are looking for a researcher with a PhD degree (or who will receive a PhD degree by December 2024) in the fields of civil, mechanical, chemical, environmental, data science, computer or transportation engineering, physics, chemistry or mathematical sciences or related disciplines.

The appointee will contribute to the GP4Streets project (DIY Greening Prescription for Climate Adaptation in Urban Streets) and support ongoing projects such as the UKRI RECLAIM Network Plus, EU Horizon Europe HealthySailing, various air quality consultancy projects, and NERC GreenCities. As part of the Guildford Living Lab, they will promote GCARE’s research locally, nationally, and internationally and assist with developing new grant applications. Based at the University of Surrey’s GCARE, the appointee will work closely with GCARE team members and project collaborators and may undertake short visits to partner institutions for collaborative research activities.

The postholder must have strong skills in big data analysis and air pollution modelling. Responsibilities include monitoring and modelling the effectiveness of green infrastructure in mitigating air pollution and urban overheating, with advanced statistical data analysis skills (e.g., R, Python, MATLAB). The role calls for a self-driven, independent individual, who can log, clean, share, assess, interpret, and write data efficiently to publish in top-tier journals. A proven track record of timely report writing is essential.

How to apply

Please submit your application on the university website including the following:

• A maximum one-page cover letter explaining your motivation for joining this post and mapping your skills to the job profile and responsibilities.
• A maximum two-page CV detailing your education (including grades) and scientific achievements.
• A maximum two-page list of your journal and conference publications, along with any reports written. Please include a brief description (no more than 150 words) of your two best publications, highlighting the scientific breakthroughs and skills used or developed.
• Two references, including one from your PhD advisor, if possible.

For informal enquiries please contact Professor Prashant Kumar at p.kumar@surrey.ac.uk. Interviews expected end of November.

Further details

For more information and to apply online, please download the further details and click on the 'apply online' button above.

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