GCARE Research Fellow in Air Pollution Modelling

Страна: Великобритания;

Дедлайн: 30.11.2019

Веб-сайт: jobs.surrey.ac.uk


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 . GCARE is a multidisciplinary centre, researching in areas of air pollution, air-climate interactions, built and natural environments in the context of cities, megacities and rural areas, with an aim todevelop engineering-driven solutions and regulatory strategies for mitigation of environmental risks by means of advanced measurements and modelling techniques. 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 researchers with a PhD degree (or who will receive a PhD degree by 1 January 2020) in the fields of civil, mechanical, chemical, environmental, computer or transportation engineering, physics, chemistry or mathematical sciences or related disciplines.

The appointee will primarily work on a multidisciplinary project INHALE : Health Assessment across Biological Length Scales for Personal Pollution Exposure and Its Mitigation . H/She will also partly contribute to new/existing projects (e.g., EU H2020 OPERANDUM; NERC ASAP-Delhi; Innovate UK Pollution Guardian; CArE-Cities), dissemination of GCARE's research activities nationally and internationally, and help support the writing of new grant applications. The appointee will be based at the University of Surrey's GCARE and will be expected to collaborate with the project team from Imperial College London and University of Edinburgh and work closely with the other members of the GCARE team. You will be expected to makeshort stays to partner institutions for collaborative research activities.

The GCARE team will contribute to both modelling and measurement activities of the project. You will be responsible for supporting green infrastructure modelling and the integration of project activities involving health and pollution components of the project, working closely with Imperial College London. Knowledge of numerical/dispersion modelling tools (e.g., CFD, Open Foam, ENVI-met), particle physics (e.g., transformation process such as coagulation, condensation, nucleation), advanced statistical analysis packages (e.g., R, MatLab), health impact assessment and mapping (e.g., using GIS modelling), green infrastructure mapping/modelling (e.g., parametrisation of aerodynamic effects of green infrastructure) or computer programming (e.g., FORTRAN, Python, C++) are desirable. Working closely with other team members at PhD/post-doc level, you will also be responsible to organise and participate in field experimental campaigns in London that are aimed for targeted sampling of PM mass in ultrafine to coarse particle ranges for physicochemical and lung/cell toxicity analysis. These measurements will also support the dispersion/green infrastructure modelling activities at local (street) and neighbourhood/city scale.

The candidate should be motivated and enthusiastic to work in a multidisciplinary environment. H/She should be flexible in adjusting to project activities and must have experience of communicating findings in top-ranked journals. We also ask for good written and spoken English language skills, and preferably with a UK/EU/International driving licence.

Information and application

Please make an online application, including:

(i) a maximum of 2 Page curriculum vitae (including your educational details with grades obtained and mapping of your skills against the profile and responsibilities of the job),

(ii) a separate list of journal and conference publications in maximum 1 page (including a description of two of your best publications, within 150 words for each paper, highlighting scientific breakthroughs and skills used/developed), and

(iii) two references, including one from your PhD advisor, if possible,

For informal enquiries please contact Professor Prashant Kumar at p.kumar@surrey.ac.uk or by telephone, +44 (0)1483 682762. The deadline for applications is 30 November 2019 and interviews for shortlisted candidates are expected between the first and second week of December 2019.