The candidate will have the opportunity to advance research at the intersection of machine learning, chemistry and physics, and multi-agent systems within a world-class research environment. You will lead pioneering research initiatives, design state-of-the-art workflows, and foster cross-disciplinary collaborations to address complex challenges across diverse domain. You will design and implement machine learning algorithms to derive novel insights from multimodal datasets by leveraging advance machine learning framework like PyTorch and TensorFlow. You will contribute to the development of foundational models and workflows for materials discovery
PhD in Computational Chemistry, Machine Learning, Computational Biology, Bioinformatics, Computer Science, or a related field. Proficiency in Python, SQL, and technologies like TensorFlow, PyTorch, CUDA, and Ray. Experience with Large Language Models, in knowledge engineering, machine learning, and scientific software development.
Send the CV