Applied Research PhD Student, Foundation Models for Materials Science

NVIDIA is seeking a talented and highly motivated PhD student to conduct cutting-edge research in 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.

Requirements

• Student currently pursuing a Ph.D. and a graduate of a Master's degree 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

Benefits

• Opportunity to work with NVIDIA, a widely considered desirable employer in the technology field
• Collaboration with researchers and engineers across NVIDIA and academia
• Potential for real-world impact across scientific and industrial domains