Current Vacancies
Research Assistant - Joint PhD Candidate (Development of Robot Planning and Reinforcement Learning Algorithms Based on Differentiable Simulation)
Recruitment Position 1：Research Assistant - Joint PhD Candidate
招聘岗位 1：研究助理-联培博士候选人
Research Project: Development of Robot Planning and Reinforcement Learning Algorithms Based on Differentiable Simulation
Enrollment Time for Doctoral Studies: 2026
Supervisor from CAIR: Prof. Zhongkai Zhang/Prof. Hongbin Liu
Supervisor from The Chinese University of Hong Kong: Prof. Qi Dou
Job Responsibilities
1. Develop robot planning and reinforcement learning algorithms based on differentiable simulation, including but not limited to literature review, algorithm experiment design and implementation.
2. Build and optimize software modules and algorithmic frameworks related to the research topic, ensuring code efficiency and stability.
3. Actively participate in building differentiable simulation platforms and conduct experimental validation of robot planning and reinforcement learning algorithms.
4. Regularly report research progress to the team and maintain close communication and collaboration with team members.
5. Write high-quality research reports, academic papers, and patent application materials.
Requirements
1. Outstanding master's or bachelor's degree in Computer Science, Computer Graphics, Artificial Intelligence, Robotics, or related fields.
2. Strong interest in research, self-motivated, and capable of solving problems independently.
3. Proficient in C++, Python, and CUDA programming, with solid programming foundations and good coding practices.
4. Familiar with robot planning and reinforcement learning algorithms, understanding their principles, applications, and development trends.
5. Knowledge of differentiable simulation; prior project experience preferred.
Career Development
You'll join CAIR as a Research Assistant. Those who pass the assessment between October 2025 and March 2026 will be selected for the joint-doctoral program co-organized by CAIR and the Chinese University of Hong Kong, thereby commencing a path of more advanced academic research and career development.
Application Method
Please send your resume to hr02@cair-cas.org.hk. The subject of the email should be marked as Application for [RA- Joint Doctoral Candidate ]- [Research Project]-[Name].
课题: 基于可微分仿真的机器人规划与强化学习算法开发
博士入学时间：2026年
中国科学院香港创新院人工智能与机器人创新中心导师：张忠凯教授/刘宏斌教授
香港中文大学导师：窦琪教授
岗位职责
1. 负责开发基于可微分仿真的机器人规划与强化学习算法，包括但不限于文献调研、算法实验设计与实施。
2. 构建和优化与课题相关的软件模块和算法框架，确保代码的高效性和稳定性。
3. 积极参与可微分仿真平台搭建，对机器人规划与强化学习算法进行实验验证。
4. 定期向团队汇报研究进展，与团队成员保持密切沟通与协作。
5. 撰写高质量的研究报告、学术论文及专利申请材料。
职位要求
1. 计算机、图形学、人工智能、机器人等相关专业，优秀硕士或本科毕业生。
2. 对科研有浓厚的兴趣，自驱力强并且具有独立解决问题的能力。
3. 熟练C++、Python 和 CUDA 编程，具备扎实的编程基础和良好的代码编写习惯。
4. 熟悉机器人规划与强化学习算法，了解其原理、应用场景及发展趋势。
5. 熟悉可微分仿真，有相关项目经验者优先考虑。
职业发展
以研究助理入职，2025年10月至2026年3月期间通过考核者，将入选中国科学院香港创新院人工智能与机器人创新中心与香港中文大学联培博士生项目，接受双方导师共同指导，开启更高层次的学术研究与职业发展之路。
申请方式
请将个人简历发送至hr02@cair-cas.org.hk，邮件主题请注明:研究助理-联培博士候选人申请-课题-姓名。