中佛罗里达大学 - Dr. Haonan Ling, Dr. Tong Wu 诚聘博士后
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美国中佛罗里达大学(University of Central Florida)诚招博士后
中佛罗里达大学（University of Central Florida, UCF）Dr. Haonan Ling与Dr. Tong Wu课题组现招聘多名博士后研究员，加入双方共同开展的合作研究团队。该岗位聚焦于面向复杂动力系统的学习型控制方法，重点发展具有安全约束和几何结构的强化学习与控制理论及应用。诚邀相关领域背景的优秀博士毕业生及青年学者申请。
博士后聘期为 24 个月，采用先签订 12 个月合同、经考核合格后续聘 12 个月 的形式。该岗位已获得完整聘期的经费支持。预计入职时间为 2026 年 8 月 1 日。
主要研究方向包括：
申请人应具有电气工程、计算机科学、机械工程、应用数学或相关领域的博士学位，并具备扎实的机器学习背景，尤其是在强化学习方面具有较强研究基础。我们希望申请人具有独立科研能力、严谨的学术思维和清晰的科研表达能力，并愿意在基础理论研究和实际应用转化方面做出贡献。
有意申请者请将个人简历发送至：1point3acres.com及1point3acres.com。
English Version
Postdoctoral researcher hiring!
Dr. Haonan Ling and Dr. Tong Wu are seeking highly motivated postdoctoral researchers to join a growing collaborative research effort at the University of Central Florida, focused on advancing learning-based control with safety and geometric structure for complex dynamical systems.
Appointments are for 24 months, structured as an initial 12-month contract followed by a 12-month renewal based on satisfactory performance, with funding secured for the full duration. The expected start date is August 1, 2026.
Research directions include:
Candidates should have a Ph.D. in Electrical Engineering, Computer Science, Mechanical Engineering, Applied Mathematics, or a related field, with a strong background in machine learning, particularly reinforcement learning. We seek individuals who demonstrate intellectual independence, rigorous thinking, and clear scientific communication, and who are motivated to contribute to both foundational research and practical impact.
We offer a strong computational infrastructure to support large-scale training and evaluation of modern reinforcement learning and control algorithms, including multiple NVIDIA A6000 GPU workstations and DGX systems. Postdoctoral researchers typically have dedicated access to GPU workstations. The group also has access to robotics hardware platforms for real-world validation.
If you are interested, please send your CV to 1point3acres.com and 1point3acres.com.
中佛罗里达大学（University of Central Florida, UCF）Dr. Haonan Ling与Dr. Tong Wu课题组现招聘多名博士后研究员，加入双方共同开展的合作研究团队。该岗位聚焦于面向复杂动力系统的学习型控制方法，重点发展具有安全约束和几何结构的强化学习与控制理论及应用。诚邀相关领域背景的优秀博士毕业生及青年学者申请。
博士后聘期为 24 个月，采用先签订 12 个月合同、经考核合格后续聘 12 个月 的形式。该岗位已获得完整聘期的经费支持。预计入职时间为 2026 年 8 月 1 日。
主要研究方向包括：
- 面向控制系统与机器人技术的强化学习
- 动力系统中的迁移学习
- 多智能体/多模态控制与协同
- 安全强化学习
- 面向控制的几何学习
申请人应具有电气工程、计算机科学、机械工程、应用数学或相关领域的博士学位，并具备扎实的机器学习背景，尤其是在强化学习方面具有较强研究基础。我们希望申请人具有独立科研能力、严谨的学术思维和清晰的科研表达能力，并愿意在基础理论研究和实际应用转化方面做出贡献。
有意申请者请将个人简历发送至：1point3acres.com及1point3acres.com。
English Version
Postdoctoral researcher hiring!
Dr. Haonan Ling and Dr. Tong Wu are seeking highly motivated postdoctoral researchers to join a growing collaborative research effort at the University of Central Florida, focused on advancing learning-based control with safety and geometric structure for complex dynamical systems.
Appointments are for 24 months, structured as an initial 12-month contract followed by a 12-month renewal based on satisfactory performance, with funding secured for the full duration. The expected start date is August 1, 2026.
Research directions include:
- Reinforcement Learning for Control Systems and Robotics
- Transfer Learning in Dynamical Systems
- Multi-Agent/Multimodal Control and Coordination
- Safe Reinforcement Learning
- Geometric Learning for Control
Candidates should have a Ph.D. in Electrical Engineering, Computer Science, Mechanical Engineering, Applied Mathematics, or a related field, with a strong background in machine learning, particularly reinforcement learning. We seek individuals who demonstrate intellectual independence, rigorous thinking, and clear scientific communication, and who are motivated to contribute to both foundational research and practical impact.
We offer a strong computational infrastructure to support large-scale training and evaluation of modern reinforcement learning and control algorithms, including multiple NVIDIA A6000 GPU workstations and DGX systems. Postdoctoral researchers typically have dedicated access to GPU workstations. The group also has access to robotics hardware platforms for real-world validation.
If you are interested, please send your CV to 1point3acres.com and 1point3acres.com.
