Applied Research PhD Student, Foundation Models for Materials Science

About this role

Do you want to take part in shaping the future of AI-driven materials discovery? NVIDIA is seeking a talented and highly motivated student for a Joint PhD at Bar-Ilan University (BIU), to conduct cutting-edge research in collaboration with NVIDIA teams, on next-generation Foundation Models for Materials Science. The work will focus on developing novel multi-modal foundation models for materials discovery, leveraging large-scale data, representation learning, and uncertainty estimation. The candidate will work closely with academic and industry researchers, contributing to both methodological advances and real-world impact across scientific and industrial domains

What you’ll be doing: • Conduct research in deep learning and AI for materials science, with a focus on foundation models, multi-modal learning, and representation learning. • Develop and train large-scale models for materials discovery and prediction tasks. • Collaborate with researchers and engineers across NVIDIA and academia

• Lead independent research under academic supervision, while contributing to team efforts. • Publish results in top-tier conferences and journals, and present findings clearly and effectively. What we need to see: • A student currently pursuing a Ph.D., and a graduate of a Master’s degree (M.Sc.) in Computer Science, Electrical Engineering, Materials Science, or a related field • Strong background in deep learning and machine learning

• Experience with foundation models, multi-modal learning, or self-supervised learning. • Strong communication skills and ability to work collaboratively in interdisciplinary teams. Ways to stand out from the crowd: • Background or strong interest in materials science and chemistry

• Proven experience in building or training large-scale foundation models. • Experience with uncertainty estimation, generative models, or scientific machine learning. • Strong programming skills in Python and deep learning frameworks (e.g., PyTorch)

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Apply for this role on NVIDIA’s official careers site.