Funding: Fully funded (UK/EU/International students

Project code: O&SM5110220

Department: Operations and Systems Management

Start dates: October 2020

Closing date: 23 February 2020

Applications are invited for a fully-funded 3-year PhD to commence in October 2020.

The Project

The PhD will be based in the Faculty of Business and Law, and will be supervised by Dr Banu Lokman and Dr Maria Barbati. Prof Murat Koksalan will be involved as a third, external supervisor.

Successful applicants will receive a bursary to cover tuition fees at the UK/EU rate for three years and a stipend in line with the RCUK rate (£15,009 for 2019/2020). As part of the bursary, the Faculty of Business and Law may fund fieldwork expenses (currently £2,000) over the total period of PhD study. We also offer funding to attend conferences (currently £550), training (currently £450), and a work-based placement (currently a maximum of £3,000 tied up to the period of 12 weeks).

Electromobility in transportation (EiT) is becoming more important with the increasing concerns on global warming. EiT not only reduces the carbon dioxide emissions, air pollution, and noise but also improves energy efficiency.

Transportation accounted for 33% of all carbon dioxide emissions in 2018. Since road transportation is the fundamental way of moving people and cargo across the UK, a substantial portion of total emissions from transportation is caused by road transportation.

Therefore, vehicle EiT provides a huge potential towards cleaner and green transportation. On the other hand, the market shares of battery-powered electric vehicles (EVs) and hybrid electric vehicles in the UK are still quite small. This is due to the limited number of charging facilities and mileage concerns of the customers.

The aim of this project is to design a decision support system for locating charging stations to support long-distance travel by EVs. Different from the existing approaches, in addition to cost concerns, this project will take equity concepts into consideration to develop a multi-period multi-objective optimization model that provides low cost solutions with a fair distribution of the charging services among different regions.

The work on this project could involve:

  • A decision support system design for the planning of electric vehicle charging infrastructure in the UK.
  • Development of multi-objective optimisation approaches for facility location problems with cost, equity and efficiency objectives.

Entry requirements

General admissions criteria

You’ll need a good first degree from an internationally recognised university (minimum upper second class or equivalent, depending on your chosen course) or a Master’s degree in an appropriate subject. In exceptional cases, we may consider equivalent professional experience and/or qualifications. English language proficiency at a minimum of IELTS band 6.5 with no component score below 6.0.

Specific candidate requirements

We welcome applications from highly motivated prospective students with a background in Operations Research (e.g. industrial engineering, business and management, computer science, mathematics and other relevant disciplines) with an interest in multi-criteria decision making. A familiarity with multi-objective optimization and facility location problems are desirable (not essential). We are also interested in candidates who are familiar with the interactive algorithms to solve multi-objective optimization problems. We encourage prospective students to design their own research strategies depending on their interest and core skills.

Find out more about the project, the Supervisors and how to apply

Funding Information

Funding applies to:

Fully funded (UK/EU/International students)

Application Deadline:

23 February 2020

Please see our website for how to apply:
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