We are seeking PhD students with strong backgrounds in computer science, mathematics, or related fields to join our team. Successful candidates will have the opportunity to work on research projects in areas such as foundation models and language understanding, trustworthy and responsible AI, graph-based machine learning, AI for scientific discovery in chemistry, biology, and physics, as well as knowledge representation and reasoning. Applicants should hold a Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related discipline. While a strong publication record is not strictly required, we value students who are self-motivated, diligent, and eager to develop as independent researchers. Strong programming skills and experience with machine learning frameworks are desirable, along with good academic performance and communication skills in English. Applications for PhD positions should be submitted through the Notre Dame Graduate School application system. Please indicate your interest in the MINE Lab in your statement of purpose. Applicants should also review the general admission requirements of the PhD program in Computer Science and Engineering at Notre Dame, which can be found here: Notre Dame CSE PhD Requirements.
With the support of the Lucy Family Institute for Data & Society, the Foundation Models and Applications Lab (FMAL) has been officially launched under the co-direction of Prof. Xiangliang Zhang and Prof. Meng Jiang. We are currently inviting applications for a postdoctoral researcher position. The research will focus on foundation models and their applications, with an emphasis on interdisciplinary collaborations. If you are interested, we encourage you to get in touch with us. Applicants should hold a PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field. A strong publication record in top-tier conferences or journals is highly desirable, along with experience in deep learning frameworks and large-scale experiments. We are looking for candidates who possess excellent research skills, independence, and the drive to pursue impactful work. To apply, please send your curriculum vitae and list of publications to xzhang33@nd.edu with the subject line “Postdoc Application – FMAL.”
Currently, on-site visits are only available through the ISURE project. If you would like to collaborate online, please send your CV and a brief introduction to xzhang33@nd.edu.
Notre Dame consistently ranks among the nation's elite universities, currently ranked 18th in the U.S. News & World Report National University Rankings. The university boasts exceptional rankings in specific programs, including the 4th best undergraduate business program (Mendoza College of Business) and 22nd best engineering program nationwide. With a selective acceptance rate and a strong faculty-to-student ratio of 1:10.9, Notre Dame delivers world-class education across its comprehensive graduate programs in Engineering, Science, Arts and Letters, and the Keough School of Global Affairs.
With state-of-the-art facilities and substantial research funding, Notre Dame has seen research funding increase from $87 million to over $141.5 million in the past decade. The university's operating budget exceeds $1.5 billion, with an endowment valued at nearly $10 billion. Notre Dame encourages interdisciplinary collaboration across its many research centers and institutes, including the Lucy Family Institute for Data & Society, providing extensive resources for cutting-edge research.