Applied Research PhD Student, Foundation Models for Materials Science

Do you want to take part in shaping the future of AI-driven materials discovery? We are seeking a talented and highly motivated student for a Joint PhD at Bar-Ilan University (BIU), to conduct cutting-edge research in collaboration with our 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 youll 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 and academia.
Lead independen

דרישות:

A student currently pursuing a Ph.D., and a graduate of a Masters 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). המשרה מיועדת לנשים ולגברים כאחד.