Current Vacancies

Embodied Intelligence Algorithms Research Assistant

具身智能算法研究助理

Job Description:

We are looking for a research assistant focused on embodied intelligence. This position primarily focuses on the development and application of embodied algorithms for robotic arms and dexterous hands, aiming to promote innovation in robotics technology and publish high-level research papers.

Main Responsibilities:

1. Develop and optimize deep learning algorithms for robotic arms and dexterous hands.

2. Proficiently use simulation environments like Isaac Gym to design robotic operation tasks to evaluate algorithm performance in virtual world tasks.

3. Assist in analyzing experimental data and writing research reports and academic papers.

Qualifications:

1. Master’s degree in Computer Science, Electronic Engineering, Robotics, or related fields.

2. Understanding of reinforcement learning theory and simulation practices, with relevant project experience.

3. Familiarity with control technologies for robotic arms and dexterous hands and their applications.

4. Proficiency in programming languages and frameworks such as Python and PyTorch.

5. Good teamwork spirit and communication skills.

Preferred Qualifications:

1. Experience with robot-related simulation environments is preferred.

2. Previous publications in related academic fields are preferred.

3. Basic knowledge of mechanical design or electronic circuits is preferred.

职位描述：

我们正在寻找一位具身智能方向的研究助理。该职位主要聚焦于机械臂和机器人灵巧手的具身算法开发与应用，旨在推动机器人技术的创新与发表高水平研究论文。

主要职责：

1. 开发和优化机械臂与灵巧手的深度学习算法。

2. 熟练使用isaacgym 等仿真环境进行机器人操作任务设计，以评估算法在虚拟世界任务中的表现。

3. 协助分析实验数据，撰写研究报告和学术论文。

任职要求：

1. 计算机科学、电子工程、机器人学或相关领域的硕士学位。

2. 了解强化学习的理论和仿真实践，具有相关项目经验。

3. 了解机械臂和灵巧手的控制技术及其应用。

4. 熟练掌握Python、PyTorch等编程语言和框架。

5. 具备良好的团队合作精神和沟通能力。

优先考虑：

1. 有机器人相关仿真环境经验者优先。

2. 发表过相关领域学术论文者优先。

3. 具备机械设计或电子电路基础知识者优先。

Interested candidates please send your CV and relevant materials to hr02@cair-cas.org.hk and indicate the position you are applying for.

感兴趣请发送简历到：hr02@cair-cas.org.hk 并注明申请的职位