Julia Kempe

Professor Gautam Kamath is recruiting PhD students to join the Computer Science Department at the Courant Institute of Mathematical Sciences, New York University, starting Fall 2026. The research focus is on learning theory, algorithmic statistics, and trustworthy machine learning, with specific interests in differential privacy, robustness, machine unlearning, data attribution, and AI safety. NYU Computer Science is recognized as a leader in these areas, offering a vibrant research environment and collaboration opportunities with a distinguished group of faculty, including Ainesh Bakshi, Emily Black, Joan Bruna, Eunsol Choi, Siddharth Garg, Yanjun Han, He He, Chinmay Hegde, Pavel Izmailov, Arthur Jacot, Julia Kempe, Qi Lei, Allen Liu, Christopher Musco, Juan Carlos Perdomo, Julia Stoyanovich, Matus Telgarsky, and Andrew Gordon Wilson. All full-time PhD students receive comprehensive financial support, which includes a nine-month stipend, full tuition and fee coverage, and health insurance. Additional compensation is available for those who secure external fellowships or serve as instructional assistants. The department encourages applications from students interested in research abroad at NYU's global campuses in Abu Dhabi or Shanghai. Applicants should have outstanding academic records and a strong command of written English. Required application materials include a statement of purpose, three letters of recommendation, CV, academic transcripts, and proof of English proficiency (TOEFL/IELTS) if applicable. GRE scores are optional. The application deadline is December 12, 2025. Prospective students should mention relevant faculty in their application and can find further details and the application portal at the NYU Computer Science PhD admissions website. For questions, contact Professor Kamath at [email protected].

Julia Kempe, Silver Professor at New York University Courant Institute and Center for Data Science, is recruiting 1-2 PhD students to join her research group. The positions are based at NYU Courant or NYU Data Science, focusing on Machine Learning and its diverse applications. NYU offers a vibrant and top-tier machine learning ecosystem, providing an excellent environment for research and collaboration. Professor Kempe's research spans machine learning, with previous work in quantum computing and finance, reflecting a broad interdisciplinary approach. Prospective students are encouraged to check the group's latest research interests on Google Scholar to align their application with ongoing projects. Applicants should be interested in advanced research in machine learning, artificial intelligence, and related computational fields. While no specific eligibility criteria such as degree, GPA, or language tests are mentioned, candidates should demonstrate a strong interest in the lab's research areas. The application deadline is December 12, 2025. To apply, submit your application to the PhD program at NYU Courant or NYU Data Science and mention Julia Kempe's name in your application materials. For more information, visit the lab's social media page or review recent publications. Key research areas include machine learning, quantum computing, finance, computer science, and data science. The opportunity is ideal for students seeking to contribute to cutting-edge research in a leading academic institution. Funding details are not specified in the announcement. For updates and further details, follow the Kempe Lab on social media.