Science, University of Strathclyde Business School, Glasgow, UK, for the
project topic entitled "Design of algorithms for mixed integer bilevel
optimisation problem".
ABOUT THE PROJECT
The project involves in the design and development of algorithms for mixed
integer bilevel problems with special exploitable structures in the outer
level. The problem has numerous applications in health economics and
metabolic engineering.
FUNDING AND ELIGIBILITY
Funding is available to cover 3 years of tuition fees plus a tax free
stipend (£14,777 approximately). The studentship is open to candidates
from any nationality (UK/EU/international), however, the fees will be
covered at the UK/EU level.
The PhD project requires a highly numerate graduate with interests in
Bilevel Optimisation. Candidates should have at least a strong Honours
degree or equivalent (a strong 2:1 Honours degree, or a B.Sc. degree with
3.3 GPA in a 4.0 system), or preferably a Master's degree in a quantitative
discipline such as industrial engineering, operations research, mathematics
or computer science (amongst others). Experience in programming and
fundamental knowledge in optimisation are not essential but highly
desirable. Candidates who are not native English speakers will be required
to provide evidence for their English skills (such as by IELTS or similar
tests that are approved by UKVI, or a degree completed in an English
speaking country).
Applications are admitted until 31st Mar 2019, or until a suitable
candidate is found thereafter.
HOW TO APPLY
Please submit your complete applications at:
Candidates are expected to submit a cover letter, CV, any university degree
certificates and transcripts, English test results (if applicable), two
recommendation letters (or contact details of two referees, if letters are
not available to them), and any other supporting documents.
More information about the department can be found here:
https://www.strath.ac.uk/business/managementscience/
Informal enquiries about the project to Dr Ashwin Arulselvan (
ashwin.arulselvan@strath.ac.uk) or Dr Mahdi Doostmohammadi (
m.doostmohammadi@strath.ac.uk).
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