We are seeking a full-time Postdoctoral Research Associate to join the Energy and Environmental Informatics Research Group, Oxford e-Research Centre at the Department of Engineering in Central Oxford. The post is funded by EPSRC and will be fixed term until 31 March 2022. It may be extended subject to funds.
The successful candidate will join a collaboration between the universities of Oxford and Strathclyde working on the Analytical Middleware for Informed Distribution Networks (AMIDiNe) project. As power systems move towards a more federated operational model (Distribution System Operator), there is a pressing need for understanding and predicting the behaviour of actors across this increasingly localised model, and developing the means of articulating the implications of the demand they place on the network. Through unification of power system modelling and machine learning, AMIDiNe will develop the underlying models that will leverage Smart Meter and enhanced low voltage network monitoring data can predict plausible operating characteristics such as voltage throughout distribution networks that are in alignment with future operating scenarios.
Applicants should hold, or be close to completion (i.e. submitted of thesis) of a PhD/DPhil in engineering, physics, mathematics, or other related area. they should have demonstrable experience in machine learning and data science. The successful candidates will work under Prof David Wallom and will be responsible for the analysis of demand observations as provided on a per Meter Point Administration Number (MPAN) basis to develop understanding of different group behaviours occurring. This will involve the utilisation of supervised and unsupervised machine learning techniques on consumption and non-consumption data streams from smart meters to cluster different behaviours of meters and disagregated data sets to identify key features that allow us to develop deeper understanding of energy consumption within different MV and LV energy networks.
Further information can be found at http://www.eng.ox.ac.uk/jobs/home
Only applications received before midday on 04 June 2021 can be considered. You will be required to upload a covering letter, clearly describing how your skillset matches the essential and desired criteria of this advertised position, CV and the details of two referees as part of your online application.
The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology. This group has a strong desire to promote diversity and gender balance.