Doctoral Studentship in Data-Centric Analysis for the Charging of Electric Vehicles

Durham University - School of Engineering & Computing Sciences

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 analysing and predicting the spatial and temporal behaviour of users and predicting the occupancy and performance of charging stations. The studentship involves bringing together and extending methods from statistical learning and convex optimisation 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.

Supervisor: Dr Rui Carvalho

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 operations research.
  • Experience in statistics.

The Studentship is fully funded for 3.5 years with a tax-free stipend at the EPSRC rate (£14,553 for 2017/18). 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 (rui.carvalho@durham.ac.uk).

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.

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Type / Role:

PhD

Location(s):

Northern England