Samtech SA is a subsidiary of Siemens and expert in the development of numerical simulation technologies. More precisely, samcef is a world-class leader in Finite Element software for aeronautics, space, automotive, energy and other advanced manufacturing industries.
With a unique combination of simulation software, testing systems and engineering services, Siemens Industry Software, tunes into new innovative products' critical engineering attributes, ranging from system dynamics, structural integrity and sound quality to durability, safety and power consumption.
zEPHIR MARIE CURIE PROJECT
The rise of a low-carbon society, compatible with economic growth and environmental sustainability, is pending on a number of technological evolutions and breakthroughs. In that line, the role played by wind energy is deemed to increase further in the next decades. The development of performant wind farms is pending upon the performance of each turbine composing the wind farm, and on the optimal harvesting of the local wind resources. A wind park performance is nowadays predicted assuming standard profiles of mean incoming velocity, turbulence intensities and scales, etc. corresponding to standard terrain topographies and atmospheric conditions. One main limitation of such standards is that the assumed flow and turbulence properties were established to fit databases gathered on a limited number of locations, which are by definition not representative of the quite various terrain configurations nor local micro-meteorological situations that can be met in practice. This is a concern for complex terrains and is furthermore hampering the implementation of wind turbines in urban environments, which constitutes nevertheless an important component of future environmentally-friendly Smart Cities thanks to the favorable local flow accelerations, pressure build-up, canyon effects, etc. offered by an urban canopy. The ambition of this multi-disciplinary training platform is the development and application of advanced meso/microscale atmospheric models and the assessment of the impact of real terrain and local atmospheric effects on the predicted aerodynamic performance, structural dynamics and noise emissions. Obviously, human factors become a critical issue when considering implementing wind turbines in densely populated urban environments. The inter-dependencies between those factors (visual vs. acoustic effects, age or occupation, etc.), which complicate further the analysis of the motivations for a community to endorse or reject a new project, will be addressed as well.
The aim of the research is to go deep in the understanding of the aerodynamic loads and the interaction with the structure for Large Wind Turbine structures.
All candidates must be fluent in spoken and written English. The R&D is highly multidisciplinary. An ideal candidate has a M.Sc. in engineering (e.g. mechanical, fluid-dynamics, acoustics, physics) with an adequate mathematical & computational interest and background.
- Specific experience with CAE simulation methodologies and software (Finite Element Method (FEM), Boundary Element Method (BEM)...) is an advantage.
- Knowledge of programming languages (C/C++, Fortran, ...).
- Knowledge in co-simulation technics (MPI,…) is an advantage
- Candidates who have the proper qualifications may 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 research activities will mainly be carried out at Samtech SA in Liege (Belgium) in a strongly collaboration with the University of Delft (The Netherlands).
The research experience includes the period since gaining a university degree giving the candidate access to doctoral studies (the degree must entitle the holder to embark on doctoral studies, without having to acquire any further qualifications) or already in possession of a doctoral degree, independently of the time taken to acquire it.
Main objective and Responsibilities
- Design of a code to account for aeroelastic load prediction for large wind turbines. The work will be in collaboration with the University of Delft.
The remuneration will be in line with the EC rules for Marie Curie grant holders and consists of a salary augmented by a net mobility allowance.
Job ID: 179894
Organization: Digital Industries
Company: Samtech SA
Experience Level: Early Professional
Job Type: Full-time