Experteer Overview In this role you design and evaluate DL-based methods for surrogate modeling and generative AI within Siemens PhysicsAI. You work with cross-functional teams to turn promising research into production-ready solutions that accelerate engineering design. You tackle challenges in DL and physics-based simulation on industrial problems, shaping next-gen tools for Simcenter PhysicsAI. This is a collaborative, impact-driven opportunity at a world-scale software leader.Compensaciones / Beneficios
- Identify and assess emerging deep learning technologies for mechanical, aerospace, and civil engineering applications
- Develop and productize effective approaches by delivering production-grade code
- Evaluate gaps in current genAI capabilities to inform future research directions
- Translate customer needs from application engineers into research and design decisionsResponsabilidades




- Master's or PhD in relevant technical field
- Strong theoretical knowledge of deep learning fundamentals
- Familiarity with architectures such as transformers, diffusion models, normalizing flows, and Graph Neural Networks
- Proven knowledge of physics-based simulation (FEA, CFD)
- Strong background in PDEs and numerical methods
- Experience with mesh-based processing algorithms
- Hands-on experience with PyTorch or TensorFlow
- Experience working on large, complex code bases
- Strong problem-solving skills and ability to communicate technical findings clearlyRequisitos principales
- hybrid by default
- incentive compensation
- health and wellness benefits
- general mobility
- scope to grow with a leading industrial software group

📌 Deep Learning Researcher - Physicsai (Barcelona)
🏢 Siemens
📍 Barcelona