University of Edinburgh
Operational Research and Optimisation
This group has as its primary focus the mathematical and computing aspects of optimization; core technology in optimisation is the solution for large sparse linear and quadratic problems, and we are able to provide world-class expertise in the 2 main solution methods for these: the simplex method and the interior point method; we have interests in global optimisation, decomposition methods, parallel computing, industrial applications of optimisation and stochastic optimisation; our researchers are currently exploring the following areas: parameter uncertainty in queueing theory and revenue management; algorithms for linear and nonlinear nonconvex smooth optimisation problems optimization methods for linear, quadratic and nonlinear programming; decomposition methods for large-scale nonlinear nonconvex constrained optimisation bundle methods; warmstarts for interior point methods; pooling problems; computational techniques for solving large-scale linear programming problems; applications of optimisation in the chemical, oil and electricity industries; efficient gradient methods for large-scale convex and nonconvex optimisation problems.
Applicants require an undergraduate degree in an appropriate subject or relevant qualifications and experience; applicants whose 1st language is not English require: IELTS 6.5 (with at least 6.0 in each module); TOEFL internet-based test 92 (with at least 20 in each module); PTE 61 (with at least 56 in each of the communicative skills sections); or CPE grade C or CAE grade B.
|Qualification||Study mode||Fee||Course duration|
|PhD||Full-time||£ 13,100 per Academic year (overseas fees)||3 years|
|PhD||Full-time||£ 4,052 per Academic year (home fees)||3 years|
|PhD||Part-time||£ 6,550 per Academic year (overseas fees)||6 years|
|PhD||Part-time||£ 2,026 per Academic year (home fees)||6 years|
|Campus name||Town||Postcode||Region||Main campus||Campus||Partner|
|University of Edinburgh||Edinburgh||EH8 9JU||Scotland|
0131 650 5048