[教授本人]美国罗彻斯特大学CS招收Fall 2026机器学习理论与算法方向全奖博士生
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各位同学好，我是罗彻斯特大学计算机系的助理教授（jiaming-liang.github.io）。现拟招收 1–2 名全奖博士生，入学时间为 2026 年秋季。我的研究方向为机器学习中的算法理论与分析，目前的主要兴趣包括：非线性优化、随机优化、MCMC 采样算法、计算最优传输、GPU加速计算，以及大语言模型的推理与数学形式化。本人于2022年在佐治亚理工学院获得运筹学博士学位，并于2023年在耶鲁大学计算机系完成博士后研究，同年加入罗彻斯特大学计算机系任职。目前团队包括一名博士生和一位博士后研究员。我们的最新研究成果包括：
欢迎对上述方向感兴趣的同学通过邮件（1point3acres.com）与我联系。我们诚挚邀请热爱学术、勇于探索、独立思考，并具备良好数学、统计与编程基础的同学加入，共同推动机器学习中算法理论的前沿研究。同时，本组也欢迎有兴趣的博士后研究员加入合作。烦请大家帮忙转发此信息，万分感谢。祝申请顺利，捷报频传！
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Dr. Jiaming Liang (jiaming-liang.github.io) is recruiting graduate students in the PhD program of Computer Science at the University of Rochester starting Fall 2026. Dr. Liang’s group develops the algorithmic foundation of machine learning. We design, analyze, and implement provably efficient and reliable algorithms for solving a general class of problems in data science and machine learning. The research scope broadly includes algorithms for optimization, sampling, and optimal transport. We are particularly interested in topics in operations research and machine learning, such as
Applications are encouraged from students in Computer Science, Applied Math, Statistics, Operations Research, Industrial Engineering, Electrical Engineering, or related areas. Successful applicants should have strong background in applied math, statistics, and computation, and will receive full tuition coverage, competitive stipend, and graduate student employee benefits. They will also have access to modern research facilities, such as high-performance computing clusters, and professional development support including annual travel fund for conferences and workshops. Interested students can find more information at cs.rochester.edu.
If you are interested, please email Dr. Liang (1point3acres.com) with "PhD Application" in the subject line. Postdoc applications are also warmly welcome!!
About Dr. Jiaming Liang
Dr. Jiaming Liang is an Assistant Professor in the Goergen Institute for Data Science and Artificial Intelligence and the Department of Computer Science at the University of Rochester. He was a postdoctoral researcher in Computer Science at Yale University. He obtained PhD in Operations Research from Georgia Institute of Technology. Dr. Liang has published in top journals and conferences, including Mathematical Programming, SIAM Journal on Optimization, Mathematics of Operations Research, Conference on Learning Theory, American Control Conference, and Conference on Decision and Control. Dr. Liang’s research has been supported by the Air Force Office of Scientific Research.
- 提出了在时间复杂度与空间复杂度上均达到最优的最优传输问题计算方法；
- 将GPU加速技术应用于整数规划，在超大规模问题上性能超越业界最先进求解器；
- 开发用于自动设计与分析数学优化算法的大语言模型智能体。
欢迎对上述方向感兴趣的同学通过邮件（1point3acres.com）与我联系。我们诚挚邀请热爱学术、勇于探索、独立思考，并具备良好数学、统计与编程基础的同学加入，共同推动机器学习中算法理论的前沿研究。同时，本组也欢迎有兴趣的博士后研究员加入合作。烦请大家帮忙转发此信息，万分感谢。祝申请顺利，捷报频传！
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Dr. Jiaming Liang (jiaming-liang.github.io) is recruiting graduate students in the PhD program of Computer Science at the University of Rochester starting Fall 2026. Dr. Liang’s group develops the algorithmic foundation of machine learning. We design, analyze, and implement provably efficient and reliable algorithms for solving a general class of problems in data science and machine learning. The research scope broadly includes algorithms for optimization, sampling, and optimal transport. We are particularly interested in topics in operations research and machine learning, such as
- Nonlinear optimization
- Stochastic programming
- High-dimensional sampling
- GPU-accelerated computation
- Computational optimal transport
- LLM reasoning + Lean formalization
Applications are encouraged from students in Computer Science, Applied Math, Statistics, Operations Research, Industrial Engineering, Electrical Engineering, or related areas. Successful applicants should have strong background in applied math, statistics, and computation, and will receive full tuition coverage, competitive stipend, and graduate student employee benefits. They will also have access to modern research facilities, such as high-performance computing clusters, and professional development support including annual travel fund for conferences and workshops. Interested students can find more information at cs.rochester.edu.
If you are interested, please email Dr. Liang (1point3acres.com) with "PhD Application" in the subject line. Postdoc applications are also warmly welcome!!
About Dr. Jiaming Liang
Dr. Jiaming Liang is an Assistant Professor in the Goergen Institute for Data Science and Artificial Intelligence and the Department of Computer Science at the University of Rochester. He was a postdoctoral researcher in Computer Science at Yale University. He obtained PhD in Operations Research from Georgia Institute of Technology. Dr. Liang has published in top journals and conferences, including Mathematical Programming, SIAM Journal on Optimization, Mathematics of Operations Research, Conference on Learning Theory, American Control Conference, and Conference on Decision and Control. Dr. Liang’s research has been supported by the Air Force Office of Scientific Research.
