AI + CFD Researcher

UniversalAGI

4 months ago

San Francisco, CA

Onsite

Full Time

Senior

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About this role

The Founding AI + CFD Researcher at UniversalAGI will develop novel AI models for computational fluid dynamics (CFD), integrating deep learning with physics simulation to optimize and automate design processes. This role involves designing training pipelines, running large-scale experiments, and collaborating with domain experts to ensure model accuracy while adhering to physical laws. The researcher will utilize advanced ML techniques and CFD software to tackle complex engineering challenges, contributing to innovative solutions in real-world applications across industries like automotive and aerospace.

Skills

Qualifications

PhD in Machine Learning, Aerospace, Computational Physics, Applied Math, or related field2+ years of hands-on experience building and training deep learning models for scientific computing, physics simulation, or related domainsExperience with CFD software (OpenFOAM, Ansys Fluent, STAR-CCM+, or similar)Published research in top-tier ML or computational physics venues (NeurIPS, ICML, ICLR, JCP, JFM, etc.)Experience with neural operators (FNO, DeepONet, UNet, Transformers, etc.) or graph neural networks for physical systems

About UniversalAGI

www.universalagi.com

UniversalAGI is revolutionizing physical systems engineering by automating the entire product lifecycle using artificial intelligence. The company is focused on developing foundation models for physics that facilitate end-to-end automation, from initial design through to optimization, validation, and production. By leveraging these advanced AI models, UniversalAGI enables engineers to iterate rapidly, explore a vast array of design variants, and uncover innovative solutions that traditional methods may overlook. Through their cutting-edge technology, UniversalAGI aims to accelerate human progress and innovation in various transformative sectors.