Research Scientist: Real-Time Physics Generalization

NP Complete; Paris; Hybride; EUR 70 000 - 110 000; Plein temps

Résumé du poste

Augur AI is building foundational AI models for physical simulation. Based in Paris, we enable real-time iteration across fluid dynamics, structural mechanics, and electromagnetics while preserving physical fidelity.

Join our mission to strengthen generalization across geometries and regimes, research inductive biases for physics tasks, and develop robust transfer strategies for industrial-scale deployments.

Qualifications

• PhD or equivalent research experience in foundation models.
• Proficiency in Python and PyTorch.
• Strong interest in physics or numerical simulation.
• Experience building models for industrial-scale deployment.

Responsabilités

• Generalization Research across geometries, boundary conditions, and regimes.
• Inductive Biases: research equivariance, invariances, and regularization for physics tasks.
• OOD Testing: build benchmarks and stress tests for reliability in new domains.
• Transfer Strategy: define data-augmentation and curriculum strategies for robust transfer.

Connaissances

Python

PyTorch

Formation

PhD or equivalent research experience

Description du poste

Augur AI is building foundational AI models for physical simulation. Based in Paris, we enable real-time iteration across fluid dynamics, structural mechanics, and electromagnetics while preserving physical fidelity.

Join our mission to strengthen generalization across geometries and regimes, research inductive biases for physics tasks, and develop robust transfer strategies for industrial-scale deployments.