Commit 3f9ba167 authored by Benoit Fabrèges's avatar Benoit Fabrèges
Browse files

fix nested list

parent 51eaad79
Pipeline #18161 passed with stages
in 44 seconds
......@@ -29,22 +29,24 @@ The successful candidate will strengthen the numerical development activities at
# Profile
Candidates should:
* Hold a Master’s degree in either Applied Mathematics, Computer Science, Physics, Aerospace/Mechanical Engineering, or related disciplines. A PhD will be considered an asset.
* Have a solid background in:
* Numerical analysis.
* Numerical methods for computational mechanics (specifically Finite Volume and/or Finite Element Methods).
* Object-oriented programming for scientific computing.
* Demonstrate at least 3 years of experience (either academic or industrial) in:
* GPU programming of numerical methods.
* Numerical software development for HPC.
* Have excellent analytical skills and a solution-oriented thinking capacity.
* Be fluent in English with effective communication skills (both written and spoken).
* Be a team player yet have a proactive and autonomous attitude.
- Hold a Master’s degree in either Applied Mathematics, Computer Science, Physics, Aerospace/Mechanical Engineering, or related disciplines. A PhD will be considered an asset.
- Have a solid background in:
- Numerical analysis.
- Numerical methods for computational mechanics (specifically Finite Volume and/or Finite Element Methods).
- Object-oriented programming for scientific computing.
- Demonstrate at least 3 years of experience (either academic or industrial) in:
- GPU programming of numerical methods.
- Numerical software development for HPC.
- Have excellent analytical skills and a solution-oriented thinking capacity.
- Be fluent in English with effective communication skills (both written and spoken).
- Be a team player yet have a proactive and autonomous attitude.
The following skills will be considered as valuable assets:
* Specific experience with GPU programming with CUDA or HIP
* Experience with the exploitation of machine learning frameworks (PyTorch, TensorFlow...) on modern hardware architectures.
* Fluency in French.
- Specific experience with GPU programming with CUDA or HIP
- Experience with the exploitation of machine learning frameworks (PyTorch, TensorFlow...) on modern hardware architectures.
- Fluency in French.
# Offer
......
Supports Markdown
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment