Physics-Based Surrogate Models Developer
Há 3 dias
We are seeking a highly skilled developer to join our team at Inria, The French National Research Institute For The Digital Sciences. This PhD position is an exciting opportunity to work on the development of physics-based surrogate models for electromagnetic wave propagation.
About the ProjectThe goal of this project is to develop high-performance parametric neural network surrogates that can accurately and efficiently deal with the simulation of electromagnetic wave interaction with heterogeneous media and geometrically complex scattering structures. We will investigate strategies that can seamlessly integrate information from both data and PDEs by embedding the PDEs into the loss function of a neural network.
Responsibilities- Develop novel methodologies for designing multilevel and distributed physics-based neural networks.
- Numerically assess the proposed NN-based physics-based multilevel surrogate models.
- Study in 2D and 3D cases by considering wave propagation modeled by Helmholtz-type PDE and Maxwell equations.
This position requires:
- Solid knowledge of numerical analysis for PDEs.
- Expertise in Machine Learning / Deep Learning with Artificial Neural Networks.
- Basic understanding of physics of electromagnetic wave propagation.
- Proficiency in software development skills: Python programming, TensorFlow, PyTorch.
- Excellent relational skills: team worker (verbal communication, active listening, motivation, and commitment).
Inria offers a competitive salary package, including:
- Gross Salary per month: €2190.
Please note that we value good level of spoken and written English and appreciate basic French language skills. If you have any questions or would like to discuss this opportunity further, please contact us.
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