in Optimization in the School of Mathematics at the University of
Edinburgh.
Start: Fall 2011, Duration: each post for 2 years, Closing date: March 3, 2011
Post 1: The successful applicant will be developing novel first-order
optimization algorithms and applying them to solving very large scale
problems arising in digital economy. Expertise in the theory and
implementation of mathematical optimization techniques is essential.
Prior work in the area of modern accelerated gradient methods, sparse
optimization, iteration complexity analysis, engineering applications
and/or experience with high performance computing constitutes an
advantage. The fellow will work closely with Dr Peter Richtarik.
[reference # 3014079]
Post 2: The successful applicant will be developing novel matrix-free
interior-point algorithms and applying them to solving very large
scale problems arising in digital economy. Expertise in the theory and
implementation of interior-point methods and prior experience with the
development of software for high performance computing platforms are
essential. Knowledge of iterative methods of linear algebra and
experience in design of suitable pre-conditioners for them would be an
advantage. The fellow will work primarily with Prof Jacek Gondzio.
[reference # 3014076]
Further details and application procedure can be found at
http://www.jobs.ed.ac.uk/vacancies/index.cfm?fuseaction=vacancies.detail&vacancy_ref=3014079
http://www.jobs.ed.ac.uk/vacancies/index.cfm?fuseaction=vacancies.detail&vacancy_ref=3014076
--
Peter Richtarik
Lecturer
School of Mathematics
University of Edinburgh
6317 James Clerk Maxwell Building
King's Buildings
Mayfield Road
Edinburgh EH9 3JZ
Scotland, United Kingdom
Tel: +44(0)131 650 5049
Email: Peter.Richtarik@ed.ac.uk
--
The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.
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