ev charging

Driving Electric Vehicle Transition By Optimising Resources

One year enterprise-led funded Masters by Research, Ref. No. LU-176


  • Get paid £16,000 tax-free
  • Have your tuition fees reduced. Your partner company pays £2,200 towards your fees, meaning students eligible for home fees pay only £2,300. International students will need to pay the remaining £20,050.
  • Be part of the multi award winning Centre for Global Eco-Innovation within a cohort of talented graduates working on exciting business-led R&D.
  • The Centre is based at Lancaster University, so you will gain your Masters from a Top Ten University, recognised as The Sunday Times University of the Year 2018 and International University of the Year 2020.
  • Finish in a strong position to enter a competitive job market in the UK and overseas or progress on to further study.

Start: October 2021

Deadline: Midnight Sunday 29th August 2021

This project is part funded by the European Regional Development Fund and is subject to funding confirmation.


The Challenge

Driving Electric Vehicle Transition By Optimising Resources

The ability to charge the fleet will increase pressure on the UK power network, there are no guarantees that the required amount of power can be delivered to sites without large infrastructure upgrades. This could lead to a reduction in the combined fleet range, this shortfall could be mitigated against by using smart solutions to assist with the planning of fleets and delivery of charge.

This research focuses on these smart solutions, by integrating the charge management with the vehicle routing and planning, this will ensure that each individual vehicle battery charge is sufficient to complete the work required of it, or more specifically the route for a vehicle does not exceed the amount of charge than can be delivered to that vehicle, when it is charging time, and power is shared between the fleet.

Application Criteria

The successful applicant must have a 1st or upper second class degree in a quantitative discipline such as management science, maths, stats, physics, computer science, or engineering; have experience with optimisation models, heuristics algorithms and programming; and shows a strong interest in (electric) vehicle routing problems.

Enterprise and collaborative partners

Miralis Data is based in Lancaster in the North West UK. The business was established in 2016 and was created with the central aim of reducing carbon emissions and air pollution from logistics and supply chains. Tackling the issue requires development of commercial solutions that address the environmental challenge and drive businesses, and organisations make significant financial savings through productivity and efficiency gains.Miralis provide a multifaceted approach to creating efficiencies, reducing costs and striving for lower emissions in transport, logistics and supply chain. Through product development, consultancy and extensive research and development, their teams leverage data to optimise logistics, worldwide.

This project will be supervised by Dr Burak Boyaci - Senior Lecturer, Dept of Management Science, Lancaster University, Professor Guglielmo Lulli – Professor in Network Analytics, Lancaster University and Dr Will Maden – Director of Research and Innovation.

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How do I apply?

Please complete and send all of the following documents to applications@cgeinnovation.org by the advert closing date:

Please send all of the above to: applications@cgeinnovation.org by the advert closing date.

Non-UK/home candidates

For information on home/international fee eligibility please see the university fee status webpage. From 1st January 2021, EU students are required to have a visa to enter into the UK as well as other international categories. Please check these details to see if you would need to apply for a visa and indicate this on your criteria document.

After the closing date the interview panel (consisting of the academic supervisors and business sponsor) will shortlist preferred candidates. These candidates will be invited to interview and where appropriate a candidate will be selected to deliver the project. A separate formal university application process is then completed following recommendation from the interview panel.

Deadline: Midnight Sunday 29th August 2021