The School of Energy, Geosciences, Infrastructure and Society undertakes high quality, high impact research in a number of diverse areas. Whilst based in the School’s Institute of Infrastructure & Environment, as a member of the Water Academy you will also be part of a dynamic cross-School research group undertaking exciting research within a multi-disciplinary environment where both staff and students engage in water-related research themes.
The School and Institute are currently seeking an enthusiastic, dynamic and well-qualified individual to join the research group. The successful candidate will contribute to the delivery of research specific to probabilistic fluvial flood risk assessments. The project is funded by the EPSRC and will develop a probabilistic modelling approach to determine the influence of climate change on flood hazard predictions (depth, velocity and floodplain delineation for specified return period events). The advertised role is for a highly motivated Post-Doctoral Research Associate with a strong numerical modelling background to develop and run different fluvial models within a probabilistic framework.
The appointee will be responsible for the development of the models, framework structure, simulations and development of the bespoke graphical outputs. Other tasks that the applicant will be involved with include the data and output processing, participation in the project meetings and dissemination events. The post will offer excellent training in advanced numerical modelling with significant industry liaison, as well as providing significant networking opportunities within the Flood Risk Research network in the U.K. An ability to contribute to external collaborative research activities associated with the project (e.g. project steering group meetings, knowledge exchange events) is therefore essential, as is a commitment to strategic research output and dissemination activities.
You will possess a good first degree/masters in a relevant engineering or physical sciences subject discipline and will have either completed or be writing-up a PhD related to fluvial numerical modelling alongside exceptional numerical skills including programming skills in C++ (or equivalent). Experience of appropriate data analysis and modelling software (e.g. MATLAB) is essential to the post, as is evidence of a growing track record of high-quality journal publication output.
Informal enquiries are encouraged and may be made to Dr Lindsay Beevers email@example.com and Professor Gareth Pender firstname.lastname@example.org .
The anticipated start date for this post is 1st April 2015.
Applications are particularly welcome from women and black and minority ethnic candidates, who are under-represented in academic posts at Heriot-Watt