New York University is offering two postdoctoral positions in the field of artificial intelligence for materials discovery. The positions are based in New York City and are part of the research group led by Assistant Professor Stefano Martiniani. The group focuses on AI for science, with a particular emphasis on the theoretical foundations of both natural and artificial intelligence. The advertised roles will center on the development and application of generative models and machine learning methods for molecular and materials design.

Ideal candidates will have a strong background in machine learning, including experience with generative models, flow matching or diffusion models, and reinforcement learning. A background in materials science or chemistry is also highly desirable. The research will involve interdisciplinary collaboration at the intersection of computer science, materials science, and chemistry, aiming to advance the use of AI in scientific discovery and materials engineering.

Applicants are encouraged to reach out with their CV and a brief description of their research interests. For more information, candidates can refer to the LinkedIn profiles and posts provided. This is an excellent opportunity for researchers interested in AI-driven approaches to materials discovery and molecular design at a leading institution.