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Postdoctoral Fellowship Position
The Hamilton Institute, at the National University of Ireland, Maynooth (NUIM) is searching for a postdoctoral fellow to conduct advanced research as part of the IBM Exascale Stream Computing Collaboratory. The research will apply techniques from matrix theory and graph theory to Exascale computing, focusing on the problem of mapping a software (task) network onto a hardware network, so as to optimise a multi-objective criterion.
The successful candidate will have an excellent academic record and a PhD in Computer Science, Mathematics, or a related discipline. Candidates should have a research record in one or more of graph theory, graph algorithms, and linear algebra; familiarity with large-scale parallel computing and the concepts of heterogeneous and hierarchical computing is also very desirable. The successful applicant will have a demonstrated capacity for independent research, and management of a research programme. They will need to work in a collaborative environment, and will be expected to lead the writing of academic papers.
The position will be funded by IRCSET and IBM through IRCSET’s Enterprise Partnership Scheme. Further details on the Enterprise Partnership Scheme can be found on IRCSET’s website (http://www.ircset.ie/). Applicants must meet IRCSET’s eligibility criteria and will be assessed independently by IRCSET.
Deadline for applications is 1 April, 2011. For further information or to apply, please contact
Professor Steve Kirkland
SFI Stokes Professor
Hamilton Institute
National University of Ireland, Maynooth
Ireland
E-mail: Stephen.Kirkland@nuim.ie
Application Deadline : 1 April 2011
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The Hamilton Institute, at the National University of Ireland, Maynooth (NUIM) is searching for a postdoctoral fellow to conduct advanced research as part of the IBM Exascale Stream Computing Collaboratory. The research will apply techniques from matrix theory and graph theory to Exascale computing, focusing on the problem of mapping a software (task) network onto a hardware network, so as to optimise a multi-objective criterion.