Physics Machine Learning Research Engineer (M/F)

Dassault Systèmes, the 3DEXPERIENCE company, is an "accelerator of human progress." It offers companies and individuals collaborative virtual environments that allow them to imagine more sustainable innovations. By developing a virtual twin of the real world, thanks to the 3DEXPERIENCE platform and its applications, Dassault Systèmes empowers its customers to push the boundaries of innovation, learning, and production. Dassault Systèmes' 20,000 employees work to create value for our 270,000 customers of all sizes, in all industries, in more than 140 countries. For more information, visit our site www.3ds.com/frAu within R&D SIMULIA, the Multiphysics/Structures Science & Technology team is tasked with developing next-generation simulation technologies that will power Dassault Systèmes' future virtual twins. The team works on innovative approaches combining numerical simulation, artificial intelligence, and data exploitation in order to reproduce the behavior of complex physical systems with increasing realism.

Your tasks You will participate in a research project dedicated to the development of new simulation methods based on machine learning for virtual twin applications. Your tasks will include:

• Developing and evaluating deep learning models capable of reproducing the behavior of complex physical phenomena.
• Exploring the use of advanced architectures, notably Transformers and attention mechanisms, for physical model generation.
• Exploiting data from simulations and the real world to improve model performance.
• Designing approaches to reduce computation times while maintaining a high level of accuracy.
• Evaluating the robustness of models against variations in geometry, boundary conditions, and physical parameters.
• Contributing to the promotion of research results and the development of future simulation technologies.

Your qualifications Currently in Master 2 / Bac+5 in an engineering school or university, with a specialization in applied mathematics, artificial intelligence, data science, or numerical mechanics. You have:

• Proficiency in the Python language and at least one Deep Learning framework such as PyTorch or TensorFlow.
• Knowledge of Machine Learning and Deep Learning applied to scientific problems.
• Familiarity with advanced architectures such as Transformers.
• Strong foundations in continuum mechanics, numerical simulation, or physical modeling.
• An interest in approaches combining artificial intelligence, data, and scientific simulation.

Naturally curious and autonomous, you demonstrate rigor, an analytical mind, and a strong interest in applied research. You have a good level of fluent English, both written and spoken.

Joining us also means Joining a scientific company at the heart of technological innovation, driven by strong growth for more than 40 years. Main advantages and benefits:

• Multicultural environment
• Friendly working environment focused on well-being and health (gym & music rooms, concierge services.)
• Commitment to diversity and inclusion
• Dynamic career development policy: training plan, internal mobility, etc.

Your qualifications Currently in Master 2 / Bac+5 in an engineering school or university, with a specialization in applied mathematics, artificial intelligence, data science, or numerical mechanics. You have:

• Proficiency in the Python language and at least one Deep Learning framework such as PyTorch or TensorFlow.
• Knowledge of Machine Learning and Deep Learning applied to scientific problems.
• Familiarity with advanced architectures such as Transformers.
• Strong foundations in continuum mechanics, numerical simulation, or physical modeling.
• An interest in approaches combining artificial intelligence, data, and scientific simulation.

Naturally curious and autonomous, you demonstrate rigor, an analytical mind, and a strong interest in applied research. You have a good level of fluent English, both written and spoken.

Joining us also means Joining a scientific company at the heart of technological innovation, driven by strong growth for more than 40 years. Main advantages and benefits:

• Multicultural environment
• Friendly working environment focused on well-being and health (gym & music rooms, concierge services.)
• Commitment to