Subject: Postdoc Position, Computational Science, EPFL, Switzerland

In the frame of an exciting industrial grant between Prof. Picasso’s
group at EPFL MATHICSE and the company Akselos, we're looking for a
computational scientist/applied mathematician to work at EPFL MATHICSE
on R&D problems that are relevant to Akselos customers.

Akselos is an MIT spin-off that is providing a revolutionary new
cloud-based approach for large-scale engineering simulations.

Job description: The component-based reduced basis technology combines
the strengths of domain decomposition and model reduction techniques
in order to reach unprecedented simulation speed (around 1000 times
faster than traditional Finite Element). The successful candidate will
join a 2 year project focused on extending the current technology.

The ideal candidate will have the following skills:
- Solid understanding of mathematical foundations of Finite Element
Analysis (FEA),
- Previous development of FEA software,
- Software engineering practices (revision control, continuous
integration, agile development, etc),
- Advanced C++ expertise (STL, C++11),
- Experience with implementation of numerical methods,
- Experience with open source C++ FEA or CFD libraries is a plus
(e.g. libMesh, Deal.II, DUNE, OpenFOAM, PETSc, etc),
- Experience with model reduction techniques is a plus.

Send resume and cover letter to sylvain.vallaghe@epfl.ch .

More information:
akselos.com
mathicse.epfl.ch
Relevant publication: doi:10.1186/2213-7467-1-3