UConn全奖Ph.D. in Robotics, Physical AI, and Intelligent Manufacturing
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大家好。University of Connecticut School of Mechanical, Aerospace and Manufacturing Engineering 助理教授 Dr. Farhad Imani 有多个全奖PhD 位置。组里有足够funding，hardware也都搭建好了。欢迎有兴趣的同学申请。如有问题也可以在此贴下给我留言。谢谢。
Multiple Ph.D. Openings in Robotics, Physical AI, and Intelligent Manufacturing
Dr. Farhad Imani’s research group at the University of Connecticut has multiple funded Ph.D. openings for Fall 2027. imani.lab.uconn.edu
The group develops next-generation robotic systems for manufacturing, inspection, and autonomous decision-making. Current lab platforms include autonomous mobile robots, collaborative robotic arms, industrial robots, humanoid robot, and advanced manufacturing systems. Example research topics include:
Applicants should have a background in Mechanical Engineering, Electrical Engineering, Computer Science, Robotics, Applied Mathematics, or a related field. Strong programming and mathematical modeling skills are expected. Experience with robotics, ROS2, sensing, automation, or experimental systems is a plus.
The Ph.D. students will be supported through research assistantships. Interested applicants should send their CV/resume, transcript, and a brief research interest statement to Dr. Farhad Imani ([email protected]).
Multiple Ph.D. Openings in Robotics, Physical AI, and Intelligent Manufacturing
Dr. Farhad Imani’s research group at the University of Connecticut has multiple funded Ph.D. openings for Fall 2027. imani.lab.uconn.edu
The group develops next-generation robotic systems for manufacturing, inspection, and autonomous decision-making. Current lab platforms include autonomous mobile robots, collaborative robotic arms, industrial robots, humanoid robot, and advanced manufacturing systems. Example research topics include:
- Physical AI and Embodied Intelligence for Robotic Manufacturing
- Agentic AI for Robot Planning and Execution
- Mobile Robots for Smart Manufacturing Systems
- Robotic Inspection and In-Process Quality Intelligence
- Cooperative Robotic Additive Manufacturing and Repair
- Digital Twins for Robot Reasoning and Autonomy
Applicants should have a background in Mechanical Engineering, Electrical Engineering, Computer Science, Robotics, Applied Mathematics, or a related field. Strong programming and mathematical modeling skills are expected. Experience with robotics, ROS2, sensing, automation, or experimental systems is a plus.
The Ph.D. students will be supported through research assistantships. Interested applicants should send their CV/resume, transcript, and a brief research interest statement to Dr. Farhad Imani ([email protected]).
