Faculty Positions at the Center for Machine Learning Research (CMLR), Peking University

## About the Role The Center for Machine Learning Research (CMLR) is a newly founded interdisciplinary research center at Peking University. Its goal is to advance machine learning-related research across a wide range of disciplines including **mathematics, the sciences (physics, chemistry, biology, material science, engineering), and computer science**, with an emphasis on the theoretical foundation of machine learning, new algorithms, and AI for Science. The graduate program at CMLR is an interdisciplinary, international program aimed at producing the best talents at the frontier of all disciplines where machine learning can play a role. The close collaboration between CMLR and other institutions such as the AI for Science Institute (AISI, Beijing) ensures that there is a seamless flow between breakthroughs in modeling and algorithms, software implementation, and feedback from the real world. We warmly welcome **young talents** from all over the world to join us, either as **graduate students, post-docs, or faculty members**. We will strive to provide the best working environment as well as a competitive salary. ## Responsibilities - Conduct cutting-edge research in machine learning with a focus on theoretical foundations, new algorithms, and AI for Science. - Collaborate with interdisciplinary teams across mathematics, the sciences, and computer science. - Engage in teaching and mentorship of graduate students. - Develop and maintain a personal academic work plan for the next 3–5 years. - Participate in the academic and research community through publications and conferences. ## Requirements - A strong academic background in machine learning, computer science, mathematics, or related fields. - A proven track record of research excellence, including publications in top-tier conferences and journals. - Demonstrated ability to conduct independent research and contribute to interdisciplinary projects. - Strong communication skills in English for both written and oral presentations. - Ability to work collaboratively in a diverse, international environment. ## Nice to Have - Experience in AI for Science, including applications in physics, chemistry, biology, or material science. - Teaching experience or a commitment to teaching and mentoring. - Experience with software development and algorithm implementation. - Familiarity with the AI for Science Institute (AISI) and related research initiatives. ## Benefits - Competitive salary and benefits package. - Access to state-of-the-art research facilities and resources. - Opportunities for collaboration with leading institutions and researchers. - Support for academic and professional development. ## Application Materials Required - Cover letter specifying the position and expected arrival time. - Curriculum Vitae with publications. - Research statement. - Teaching statement. - Personal academic work plan for the next 3–5 years. - Three reference letters (to be submitted by the reference writers). ## How to Apply To apply, please submit the required materials to <a href="http://[email protected]"><strong>[email protected]</strong></a>.