Research Associate in Water and Energy Forecasting

University of Strathclyde Glasgow
Glasgow, United Kingdom
Position Type: 
Full-Time
Organization Type: 
University/Academia/Research/Think tank
Experience Level: 
Not Specified
Degree Required: 
Doctorate

EXPIRED

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The University of Strathclyde in Glasgow possesses a large internationally rated Faculty of Engineering with a proud history of successful joint ventures with industrial and enterprise partners. As 'the place of useful learning' the University is committed to the advancement of society through the pursuit of excellence in research, education and knowledge exchange, and through creative engagement with partner organisations at local, national and international levels.

The Departments of Civil and Environmental Engineering and Electronic and Electrical Engineering, in partnership with a leading utility company with a significant amount of hydropower, seek to appoint a research associate in water and energy forecasting. This position forms part of an established strategic partnership between the University, SSE, ScottishPower and Wood called the Low Carbon Power and Energy (LCPE) program. The LCPE is a high-profile programme funding excellent collaborative research projects between academia and industry, looking to develop new technologies for exploitation.

This role will involve analysing and post-processing sub-seasonal-to-seasonal (S2S) weather forecasts to develop novel water resource forecasts for hydropower applications. You will be supported by an experienced academic team with expertise in hydrology, numerical weather prediction and energy forecasting, and an industrial partner.
Under the guidance of the academic team, you will analyse the skill of sub-seasonal-to-seasonal (S2S) weather forecasts with a focus on hydrology and precipitation in Great Britain, and develop post-processing techniques in order to produce forecasts to support hydropower operations, in cooperation with the industrial partner. In particular, you will be expected to write code to implement various forecast verification and post-processing tasks, produce high-quality visualisations, and develop novel solutions where necessary. This may include both technical and practical aspects relating to forecast products, software, and user requirements. You will be involved with frequent interaction with industry, report and academic paper writing, as well as wider dissemination and stakeholder engagement.

To be considered for this role, you will be educated to a minimum of PhD level in an appropriate discipline, or have significant relevant experience in addition to a relevant degree. You should have demonstrable data analysis and coding experience. Whilst not essential experience within a relevant meteorological and/or hydropower environment is highly desirable, along with experience of high performance computing; training in the University’s HPC facility will be provided. Applicants should have experience in delivering technical reports both written and oral. You will have an ability to plan and organise your own workload effectively and an ability to work within a team environment. You will have excellent troubleshooting skills, including a methodical approach to solving complex problems, and the ability to listen, engage and persuade, and to present complex information in an accessible way to a range of audiences.

For informal enquiries, please contact Dr Chris White, Senior Lecturer, 
 
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