Yoli Shavit

Bar-Ilan University is advertising a fully funded PhD opening in Foundation Models for Materials Science with Yoli Shavit, Assistant Professor at the Alexander Kofkin Faculty of Engineering. The project sits at the intersection of deep learning , materials science , representation learning , self-supervised learning , multi-modal AI , and uncertainty estimation . The role focuses on developing next-generation foundation models for materials discovery and collaborating with leading researchers in Israel and abroad. The lab environment is described as supportive, collaborative, and high-energy, with strong ties to top-tier global research and industry. The post also notes that the group works on a broader set of AI problems, including visual localization, time-series analysis, and healthcare applications. Ideal applicants are expected to have a strong track record in building multi-modal foundation models. A background in materials science is preferred, though a deep interest in the area may also be suitable. The announcement highlights excellence, curiosity, and fit with a collaborative lab culture as important qualities. Application is informal at this stage: interested candidates should send a direct message for more details or contact the professor using the email listed on the Bar-Ilan University faculty webpage. No deadline is stated in the post. Institution: Bar-Ilan University, Israel Degree level: PhD Funding: Fully funded Research keywords: foundation models, materials science, deep learning, multimodal AI, self-supervised learning, uncertainty estimation