Fully-Funded Doctoral Studentship in Discovering Equations from Data for the Charging of Electric Vehicles.
School of Engineering and Computing Sciences, Durham University.
Supervisor: Dr Rui Carvalho
The project will investigate patterns of usage of charging stations and EV drivers (users) in a dataset of public EV charging in the Netherlands. Problems to be considered include extracting governing equations from data to predict the spatial and temporal behaviour of users and the usage of charging stations. The studentship involves bringing together and extending methods from statistical learning, convex optimisation and control to develop rigorous and efficient tools for the automatic analysis of EV charging at various geographical and temporal scales.
The successful applicant will be working within the Durham Energy Institute, in close collaboration with the Joint Research Centre Directorate C: Energy, Transport and Climate (European Commission) and our industrial partner ElaadNL.
Prospective candidates will be judged according to how well they meet the following criteria:
• First class honours (or high 2.1) degree in the mathematical sciences, computer science, engineering, physics or a related field.
• Strong understanding of the mathematical sciences and its applications to Engineering.
• Ability to undertake scientific programming in R, Python, etc.
• Excellent written and spoken communication skills in English.
The following skills are desirable but not essential:
• Experience in optimisation.
• Experience in statistics.
The Studentship is fully funded for 3.5 years with a tax-free stipend at the EPSRC rate (£14,777 for 2018/19). Full funding is only available to UK/EU nationals, non-UK/EU nationals can apply but would only receive a partial contribution towards the tuition fees.
In the first instance, interested candidates are encouraged to make an informal enquiry to Dr Rui Carvalho ([email protected]
). To apply formally for this studentship you need to submit a cover letter highlighting what you can bring to the project, CV and the names of two academic referees. Applicants will be required to submit a formal application using the online system found at https://www.dur.ac.uk/postgraduate/study/apply/
The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.