The group of Shape and Semantics Modelling at the Institute of Applied
Math and Informatics of the Italian National Research Council (CNR IMATI)
is seeking talented students or researchers to work on
polygonal/polyhedral mesh generation, analysis and manipulation methods to
support Polyhedral Element Methods (PEM) for PDEs. The research will be
targeted to the development of novel domain discretization approaches able
to support multi-resolution and/or adaptive domain
representations/refinements.
We are open to different profiles, ranging from software
engineers/developers, to prospective PhD student and to experienced Post
Docs. The research activities will be carried out at CNR-IMATI in the
context of the ERC Advanced Grant CHANGE (New CHallenges for adaptive PDE
solvers: the interplay of ANalysis and GEometry), a joint research project
among EPFL-MNS, the CNR-IMATI institute, RICAM and JKU-LINZ.
Previous experience either in geometry processing and applied math are
preferred. For details regarding the skills associated to each profile
please refer to the remainder of the document.
For any further information, contact: Michela Spagnuolo
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GENERAL EXPERTISE and SKILLS (preferable for all profiles)
- 3D representation methods (polygonal/solid meshes, voxels, point clouds,
implicit surfaces...)
- Spatial data structures (binary trees, octrees, Kd-trees...)
- Libraries for geometry processing (e.g., CGAL, OpenMesh, VCG, libIGL,
...)
- Numerical solvers (e.g., Eigen, Gurobi, GMM, Mosek, IPOPT, CHOLMOD,
Paradiso...)
- Proficiency in English (mandatory)
SOFTWARE ENGINEER / DEVELOPER
- Degree in Computer Science / Engineering / Math
- Familiar with C/C++ (mandatory)
- Familiar with bash, python (preferable)
- Familiar with Unix
- Ability to compile/link external C++ libraries (even when poorly
documented)
- Familiar with C++ libraries for GUI generation/handling (e.g. Qt,
NanoGUI)
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PhD profile
- Degree in Computer Science / Engineering / Math
- Familiar with C/C++
- Thesis (possibly published) in applied math / computer graphics on 3D
modelling (preferable)
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PostDoc profile
- PhD in Computer Graphics / Engineering / Applied math
- Good publication record (EG/SGP/TOG/CAD/TVCG are best)
- Basic knowledge of FEM (preferable)
- Basic knowledge of IGA (preferable)
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