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Software Intern - Sigrity R&D development engineer (R27065)

With Clarity 3D launch, the parameters to control the 3D mesh generation become very important for the success of the whole flow. Currently, we provide some default values for users but we would like to have a better estimation of these values. A program based on machine learning can be very attractive for such a problem.

The main work will be to come up with an optimized set of parameters to ensure:

1. The success of the mesh generation
2. The best possible quality for the numerical simulation that will follow

What you should do:

1. Perform a ML based algorithm to satisfy points 1 and 2 above

What you should know:

1. Machine Learning and/or optimization programming
2. Proficient in C++.
3. Basic Knowledge in meshing or computation geometry.
4. Has a good basis in Maths.
5. Good experience in Windows and Linux platforms.