RESEARCH FIELDEngineering › Mechanical engineering
RESEARCHER PROFILEFirst Stage Researcher (R1)Recognised Researcher (R2)
APPLICATION DEADLINE06/03/2018 22:00 - Europe/Brussels
LOCATIONFrance › Saint-Etienne
TYPE OF CONTRACTTemporary
HOURS PER WEEK35
OFFER STARTING DATE04/03/2018
IS THE JOB RELATED TO STAFF POSITION WITHIN A RESEARCH INFRASTRUCTURE?Yes
Mines Saint-Etienne is one of the french Grande Ecole with 1,700 students and PhD/post-docs researchers and 450 staff, for a consolidated budget of €54 million. Situated in the dynamic Auvergne-Rhône Alpes region, it benefits from its ideal location in the south-east of France, close to the Rhône valley.
The SMS center (materials science and mechanical engineering), one of the 5 Mines Saint-Etienne education and research centres, houses the Hexcel Chair for teaching and research "Advanced Numerical Modelling of Infusion-based Processing for New Generation Composite Structures". This Chair, inaugurated in 2015 and sponsored by Safran and Airbus, is based on a partnership of more than 10 years with Hexcel, the world leader in composites for aeronautics (Revenue 2014 $1.8 billion). Based on original and widely recognised modelling and simulation activities, our team of about ten people (Mines staff, Hexcel staff, (post)-docs) holds this Chair in order to widely disseminate the knowledge around specific manufacturing routes, promising but complex to master for aeronautical structural parts (wings of more than 30 m long for example).
This ambitious project, with a global funding of more than €2 million, is based on the idea that only a thorough understanding of the mechanisms ruling the physico-chemical affinities of the carbon fibres (7 micrometres in diameter) with their surrounding medium (polymeric resin) will permit to properly control, at the process scale, the manufacturing of heavily loaded structures. At the end of the first PhD theses of this 5-year program, the modelling of flows at both extreme scales, fibre and structure scales, leads to robust representations of flows including surface tensions on moving boundaries. We are now beginning to implement scale transitions capable of accounting for these transient flows in multi-scale fibre networks. This involves firstly the relevant description of orthotropic micro and meso-structures (morpho-mathematical description) and then the exploitation of simulation results at various scales (response surfaces). The use of parallel computing and/or model reduction is therefore essential to consider truly multi-scale studies that can be used in an industrial environment.
The development environment chosen is the Zset suite (ONERA-ARMINES) in which our team has been integrating its multiscale fluid/solid/porous modelling solutions for many years. Mines Saint-Étienne opens a short term contract - 1 year renewable at least once - in its SMS centre, in the field of scale transitions and parallel computing adapted to fluid/solid couplings. The second part (second year) of this post-doc will be devoted, if possible, to the implementation of industrial simulation demonstrators. Publications from this activity are strongly encouraged.
Highly motivated candidates, willing to work out leading edge solutions for processing aeronautic structures are welcome in our industry-academy project. Job opportunities are emerging from this fruitful collaboration and will be proposed in priority to the PhDs and post-docs of the Chair.
REQUIRED LANGUAGESENGLISH: ExcellentFRENCH: Good
The successful candidate will be integrated into a project team. The skills sought are:
1. Holder of a PhD thesis - or doctoral student having received the agreement of the referees before 15/02/2018 - in computational mechanics / physics (solid, fluid, porous media) or related field (applied mathematics),
2. Parallel computation and/or model recudtion, if possible for fluid/solid/porous couplings and/or Level Set, and numerical methods associated,
3. Skills in C++ and numerical methods used in finite element codes,
4. Ability to work in groups; initiative.
EURAXESS offer ID: 278108