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Dear colleague, please forward the adverts below to potentially interested applicants. Thank you. Regards, Slobodan 1) Fully funded PhD studentship: “The impact of tidal stream farms on flood risk in estuaries” College of Engineering, Mathematics and Physical Sciences, University of Exeter, United Kingdom This PhD will be part of the UK EPSRC funded and industrially supported three-year project “Optimal design of very large tidal stream farms: shallow estuarine applications”. The PhD work will be focused on assessing the impact of tidal stream farms on flood risk in estuaries. It will also involve linking of experimental and CFD modelling results with the 2D flood model and further with the optimization part of the project. The candidate will be working closely with a team of researchers at Exeter and Edinburgh universities and in collaboration with industrial partners. Deadline for applications 5 July 2012, interviews: 10 July 2012, starting date 1 October 2012. For further details and how to apply see on www.exeter.ac.uk/studying/funding/award/?id=1019<http://www.exeter.ac.uk/studying/funding/award/?id=1019> For informal enquiries contact Professor Slobodan Djordjevic [log in to unmask]<mailto:[log in to unmask]> +44 1392 722079 2) Job title: Associate Research Fellow College of Engineering, Mathematics and Physical Sciences, University of Exeter, United Kingdom Job reference R11328 Application closing date 11/07/2012 Location Exeter Salary £24,520 - £26,779 per annum Package Generous holiday allowances, flexible working, pension scheme, car lease scheme and relocation package (if applicable) Job category/type Academic Job description College of Engineering, Mathematics and Physical Sciences The College wishes to recruit an Associate Research Fellow to support the work of Profs. Dragan Savic and Mike Belmont. This EPSRC funded post is available 1 October 2012 to 30 September 2015. The successful applicant will investigate and develop a set of computational tools that will allows the multi-objective optimal design of the layout and power loadings of marine energy farms subject to environmental impacts. The work will involve a large scale analysis of the highly non-linear mixed-integer optimisation problem that will require a number of problem reduction strategies, e.g., meta-modelling, evolutionary heuristic optimisation, parallel computing, etc. All this, in turn, should enable deriving an optimal configuration of the tidal farm, e.g., comparing and contrasting configuration involving full or partial width tidal fences of turbines or large block farms of turbines. The successful applicant will be able to present information on research progress and outcomes, communicate complex information, orally, in writing and electronically and prepare proposals and applications to external bodies. Applicants will possess a PhD (in Engineering, Computer Science or Mathematics) and be able to demonstrate sufficient knowledge in the discipline and of research methods and techniques to work within established research programmes. Applicants will be able to demonstrate knowledge and experience in developing large simulation-optimisation models, evolutionary computing and high performance computing. The applicants will have good IT capabilities and excellent communications skills (both written and oral) with a flair for training and dissemination of new information. Practical software coding in C#/C++ and some knowledge in the use and application of Microsoft Visual Studio is also desirable.. For further information please contact Prof. Dragan Savic, e-mail [log in to unmask]<mailto:[log in to unmask]> or telephone (01392) 723637. To view the Job Description and Person Specification document please click here.<http://www.admin.ex.ac.uk/personnel/jobs/R11328.pdf> The University of Exeter is an equal opportunity employer which is 'Positive About Disabled People': if you have a disability, you should mention this in your application. Whilst all applicants will be judged on merit alone, we particularly welcome applications from groups currently underrepresented in the workforce. HOW TO APPLY FOR THIS POSITION: Please send your completed application and equal opportunities form along with your CV, covering letter to Prof. Dragan Savic, e-mail [log in to unmask]<mailto:[log in to unmask]> quoting the reference number R11328 / P43575 in any correspondence. To download the application and equal opportunities form please follow the below links; http://www.admin.ex.ac.uk/personnel/jobs/ app_form.rtf<http://www.admin.ex.ac.uk/personnel/jobs/app_form.rtf> http://www.admin.ex.ac.uk/personnel/jobs/EO_form.rtf