Applied Research PhD Student, Foundation Models for Materials Science at NVIDIA

Tel Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

25 Jul, 26

Salary

0.0

Posted On

26 Apr, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Deep Learning, Machine Learning, Foundation Models, Multi-modal Learning, Representation Learning, Self-supervised Learning, Materials Science, Chemistry, Uncertainty Estimation, Generative Models, Scientific Machine Learning, Python, PyTorch, Data Analysis, Research

Industry

Computer Hardware Manufacturing

Description

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). NVIDIA is widely considered to be one of the world's most desirable employers in the technology field. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and is proud to be an equal-opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.

Responsibilities

Conduct research in deep learning and AI for materials science, focusing on foundation models and multi-modal learning. Collaborate with academic and industry researchers to develop large-scale models for materials discovery and publish findings in top-tier venues.