Phd Student : thèse maths appliquées et informatique / machine learning (f/m)
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About the Role
Join Ansys as a PhD Student for a CIFRE thesis, focusing on new data representation for simulation results. The role involves significant work in the fields of applied mathematics and computer science to improve high-precision simulation data storage and utilization.
Responsibilities
- Develop new methods to analyze and represent simulation data derived from fine meshes.
- Analyze challenges posed by data that lacks regular prior structure.
- Implement algorithmic aspects using neural networks for dimensional reduction.
About the Candidate
Candidates should possess strong skills in applied mathematics and computer science. Proficiency in C++ and Python is mandatory, alongside familiarity with PyTorch or PyAnsys tools. Previous experience with numerical optimization will be beneficial.
About the Company
Ansys is a leader in numerical simulation and 3D design software, known for its commitment to innovation and excellence. The company fosters a culture that encourages growth, ingenuity, and collaboration among its employees.
Company Culture and Benefits
Ansys prides itself on creating a workplace that values diversity and inclusion, with a commitment to employee development. They support workplace initiatives aimed at innovation, providing employees with resources for continuous learning and collaboration. Opportunities for career growth and recognition as a rewarding workplace are also a part of the company’s core values.