Parallel Computing and Complex Systems Optimisation
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| Reference |
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| Job Type |
Full-time |
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| Job Status |
Sourcing |
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| Date Posted |
Wednesday, 08 July 2009 |
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| Location |
Paris, France |
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| Duration |
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| Company Information |
Ecole Centrale Paris
Grande Voie des Vignes
Chatenay Malabry FRANCE,
FL
92290
Website: http://www.ecp.fr
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| Job Description |
PhD position (limited to three years) or postdoctoral position (one year, full time) at the MAS (Applied Mathematics and systems) Laboratory at the Ecole Centrale Paris
The Laboratory is specialised in the domain of simulation and complex systems design optimisation. The Laboratory is associated with key collaborative projects within the “System@tic” competitive cluster, and has partnerships with major actors of automotive, aeronautics industries, and software providers in scientific computing domain.
Successful applicant will design and develop scalable algorithms for solving many objective design optimisation problems. The goal of the work is to:
Investigate the strategies for solving many-objective, multi-disciplinary, multilevel optimisation problems
Implement prototypes of selected methods on latest high performance computing platforms like GPGPUs or multi-core architectures.
Validate the methods on industrial usecases proposed by industrial partners
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| Qualifications |
Applicant should have background in computational modeling, numerics and, preferably, system design optimisation. Applicant must demonstrate ability to carry out high-quality research in this domain, proficiency in programming, and ability to work as part of a research team, and to interact with industry research partners. Good spoken and written English communication skills are essential. |
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| How to Apply |
Please send your application for a suitable position along with the following documents (in pdf format) preferably by email to Helene Huard (helene.huard[NOSPAM]ecp[DOT]fr):
Curriculum Vitae (CV).
A short description of qualifications and research experience (i.e. relevant course work, Diploma or Master thesis, or PhD thesis, abstracts of publications).
A letter of motivation describing scientific interests related to the subject.
Minimum two and maximum three references (name, position and email addresses).
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