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The Intelligent Robotics and Interactive Systems (IRIS) lab at Arizona State University (ASU) is seeking two Ph.D. applicants in the areas of robot learning and control for human-robot interaction and robot dexterous manipulation. The positions will commence as early as Spring 2024 and are fully funded (tuition + monthly salary).
The IRIS lab focuses on developing interactive intelligence, enabling robots to (1) seamlessly interact with humans by understanding human intent, assisting with human decision-making, improving their intelligence through human intuitive interactions, and (2) skillfully manipulate physical objects by learning and planning with physical representations, touching and affecting objects with maximum dexterity, toward human-level physical intelligence. For more information, please visit the lab website: [url=The Intelligent Robotics and Interactive Systems (IRIS) lab at Arizona State University (ASU) is seeking two Ph.D. applicants in the areas of robot learning and control for human-robot interaction and robot dexterous manipulation. The positions will commence as early as Spring 2024 and are fully funded (tuition + monthly salary). The IRIS lab focuses on developing interactive intelligence, enabling robots to (1) seamlessly interact with humans by understanding human intent, assisting with human decision-making, improving their intelligence through human intuitive interactions, and (2) skillfully manipulate physical objects by learning and planning with physical representations, touching and affecting objects with maximum dexterity, toward human-level physical intelligence. For more information, please visit the lab website: https://asu-iris.github.io/]https://asu-iris.github.io/[/url]
Basic Requirement
- Strong passion for the above research areas and desire to solve challenging problems
- Master's degree in robotics, mechanical engineering, computer science, electrical engineering, or a related field with outstanding academic performance
- Strong analytical and coding skills
- Good communication skills in both written and spoken English, meeting the English requirement of the School: https://semte.engineering.asu.edu/mechanical-graduate/
Desired Skills
- Knowledge of robotics, dynamics, controls, planning, and machine learning
- Knowledge of optimization and linear algebra
- Experience in machine learning or computer vision, proficient in learning frameworks (e.g., PyTorch)
- Experience in robot programming, especially with Python and C++
关于导师:
Dr. Wanxin Jin (靳万鑫) 将于今年秋季作为 tenure-track 助理教授加入亚利桑那州立大学Ira A. Fulton工程学院。他是宾夕法尼亚大学GRASP实验室的博士后研究员。Wanxin 于2021年获得普渡大学的博士学位。Wanxin 的研究方向包括: robotics, control, and machine learning, with an emphasis on the intelligence of robots as they physically interact with humans and objects. Wanxin 发表论文20篇,授权专利12项。大部分文章发表在机器人顶级期刊:International Journal of Robotics Research (IJRR), IEEE Transactions on Robotics (TRO),自动控制顶刊:Automatica,人工智能顶级会议:Neural Information Processing Systems (NeurIPS), International Conference on Machine Learning (ICML)。详情请见网站:[url=https://wanxinjin.github.io/]https://wanxinjin.github.io/[/url]
关于亚利桑那州立大学 (ASU):
亚利桑那州立大学是一所坐落在美国亚利桑那州州府凤凰城的公立研究型大学。2021年在QS大学综合排名中位列全美第62名。2022年Times Higher Education全球大学综合排名中位列全球第132名。连续八年在U.S. News & World Report评选的全美创新力大学排名榜中名列第一。 ASU拥有5位诺贝尔奖得主、9位美国国家工程院院士和23位美国科学院院士。更多排名请见: https://www.asu.edu/rankings , https://engineering.asu.edu/rankings/
ASU Ira A. Fulton 工程学院(Ira A. Fulton School of Engineering)实力雄厚,在U.S. News & World Report 工科排名中位列全美第33名(本科项目)和 第41名(研究生项目)。其中,机械工程(Mechanical Engineering) 全美研究生排名第38名,本科排名第23名。为什么选择ASU Ira A. Fulton 工程学院?
• 毕业生被聘用到顶尖科技公司的大学排名:第4名(全美公立大学) 与 第6名 (全美大学)
• 硅谷知名企业最青睐的20所大学之一: https://www.sohu.com/a/330437447_377823
How to Apply:
Apply for ASU Mechanical Engineering Ph.D. Program https://semte.engineering.asu.edu/mechanical-graduate/ and indicate Dr. Wanxin Jin as your prospective supervisor in your statement of purpose. Before that, you are encouraged to reach out to Wanxin at wanxin.jin@asu.edu with your CV and transcripts to discuss your interest.
Key Dates:
If you want to join in Spring 2024, the deadline for application is August 1, 2023.
If you want to join in Fall 2024, the deadline for application is December 31, 2023.
Contact:
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