Location:
Department of Engineering, Streatham Campus, Devon, University of Exeter
The University of Exeter’s College of Engineering, Mathematics and Physical Sciences is inviting applications for a fully-funded PhD studentship to commence in May 2022 or as soon as possible thereafter. The studentship will cover Home tuition fees plus an annual tax-free stipend of at least £15,609 for 3.5 years full-time, or pro rata for part-time study.
Non-UK students who pay international tuition fees should note that the award will only provide payment for part of the international tuition fee (the amount is equivalent to home student tuition fee) and an annual tax-free stipend . They are eligible to apply if able to provide the rest of the international tuition fee. The studentship will be awarded.
Project Description:
The clean offshore wind energy is gaining traction worldwide with a great development potential facing net zero target. UK is leading this thriving industry with the largest capacity installed. In early stages of development, the technical realisation is the core challenge. However, when more offshore wind farms with larger scale are in design and in operation, it comes the golden age to reshape the supply chains of offshore wind energy by taking all the stakeholders – suppliers, manufacturers, distributors, ports, farms, end-users, etc. into consideration. A smart design of supply chain network will aim to streamline costs and promote wider adoption of offshore wind energy.
We are seeking a PhD candidate interested in applying simulation software to design simulation-optimisation for resilient and sustainable supply chain network in offshore wind energy under uncertainty and disruption. We envision that this project will involve mathematical model developments and will utilise simulation, metaheuristics, and optimisation solver packages as solution procedures. We expect applicants to have a strong operational research background combined with proven interest in simulation and computer language.
Entry Requirements:
Non-UK students who pay international tuition fees should note that the award will only provide payment for part of the international tuition fee (the amount is equivalent to home student tuition fee) and an annual tax-free stipend . They are eligible to apply if able to provide the rest of the international tuition fee. The studentship will be awarded.
Applicants for this studentship must have obtained, or be about to obtain, a First Class UK Honours degree, or the equivalent qualifications gained outside the UK, in an appropriate area of science or technology. Prior knowledge and experience in the field of simulation modelling, computer programming, and nonlinear differential equations is desired.
If English is not your first language you will need to have achieved at least 6.0 in IELTS and no less than 6.0 in any section by the start of the project.
Alternative tests may be acceptable (see http://www.exeter.ac.uk/postgraduate/apply/english/).
How to Apply:
In the application process you will be asked to upload several documents. Please note our preferred format is PDF, each file named with your surname and the name of the document, eg. “Smith – CV.pdf”, “Smith – Cover Letter.pdf”, “Smith – Transcript.pdf”.
• CV
• Letter of application (outlining your academic interests, prior project work experience and reasons for
wishing to undertake the project).
• Transcript(s) giving full details of subjects studied and grades/marks obtained (this should be an
interim transcript if you are still studying)
• Two references from referees familiar with your academic work. If your referees prefer, they can email
the reference direct to [Email Address Removed] quoting the studentship reference number.
• If you are not a national of a majority English-speaking country you will need to submit evidence of your proficiency in English. Please see the entry requirements information above.
Please visit the website to submit an application: https://www.exeter.ac.uk/study/funding/award/?id=4323
The closing date for applications is midnight on 31st March 2022.
Interviews will be held online between 18th-22nd April 2022..
If you have any general enquiries about the application process please email [Email Address Removed].
Project-specific queries should be directed to the main supervisor at [Email Address Removed]
Continue with Facebook
