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parametric Model Order Reduction strategies to develop a new generation of joint concept models Leuven Belgium,
Posted on : 02 June 2017
ProjectThe PhD candidate will work on the development of a parametric Model Order Reduction strategy to translate detailed 3D joint models into mathematical black-box representations while maintaining the direct dependencies to the relevant model parameters. The approach will be validated numerically, and possibly experimentally on joined structures grafted in the automotive and industrial machinery industry.ProfileAll candidates must be fluent in spoken and written English. The R&D is highly multidisciplinary. An ideal candidate has an M.Sc. in engineering (e.g. (vibro-)acoustics, solid-mechanics, physics).Knowledge of numerical modelling, programming languages and signal processing is a strong advantage.Candidates get the opportunity to perform this work as part of a PhD study.All members of the network are equal opportunity employers, both female and male candidates are invited to apply.The applicant may be of any nationality.OfferKU Leuven offers to the selected candidate a stimulating and ambitious research environment which is embedded in the DNA of the region of Leuven, a premier destination for Health, High-Tech and Creativity and considered an extremely nice place to live and work.To assist Fellows in matters of work permits, visas, living,mobility, housing, & , KU Leuven has the International Admissions Office (an Official Marie Curie mobility centre recognized by the Flemish government) with dedicated Officers which offers new colleagues HR, Recruitment and Career Management support.
3000 Leuven Belgium
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