Working for the Centre

The e-Research Centre offers a vibrant, friendly, inclusive and flexible working environment.

We encourage our staff to become involved in a wide range of activities internally, in the wider University and beyond. All staff are able to explore their career development and aspirations as part of an annual PDR process, which is also a suitable forum for seeking additional training, guidance or support. The Centre will support flexible working arrangements wherever possible. 


Current vacancies:

Postdoctoral Research Assistant in Understanding Extreme Weather Risk to Energy Infrastructure

Grade 7: £31,604 - £38,833 p.a.

We are seeking a full-time Postdoctoral Research Assistant in understanding extreme weather risk to energy infrastructure to join the Energy and Environmental Informatics Research Group at the Oxford e-Research Centre, Department of Engineering Science. The post is funded by National Grid PLC and is fixed-term to 30 October 2018.

The project aims to improve the understanding of risk to the UKs Electrical System Infrastructure from Climate Change and extreme weather events. It will provide as output a map showing network equipment content and risk for each. You will be responsible for designing the experiments submitted to Weather@home and analyses to calculate extreme weather event risk per grid cell and then visualise these results.

You should possess a PhD in relevant subject with experience in the development and interpretation of the outputs from complex computer models, preferably general circulation models, good programming skills in high level languages, e.g. C++ and Fortran. The project is a three-way collaboration between the Centre, the Environmental Change Institute and National Grid so there is a requirement for excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings.

Informal enquiries may be addressed to Professor David Wallom.

You will be required to upload a covering letter/supporting statement, describing how you meet selection criteria point by point), CV and the details of two referees as part of your online application.

Only applications received before 12.00 midday on Wednesday 25 October 2017 can be considered.


Other vacancies

The FAIR Data Science team is growing: enthusiastic software developers with interest/experience in data management should contact Professor Susanna-Assunta Sansone