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Multiple Postdoc, Engineer, PhD Student Positions: Learning/Control/Biomechanics of Legged Robots and Soft Robots at City University of New York
The Biomechatronics and Intelligent Robotics Lab at the City University of New York (CUNY), City College is seeking multiple post-doc fellows, engineers, and PhD students with Dynamics/Control OR Learning OR Mechatronics expertise for applications in soft robots, wearable robots, and legged robots.
The postdoc position is in New York City and jointly affiliated with CUNY and National Institutes of Health (NIH).
The lab is comprised of 4 postdocs and 5 PhD students.
Our research is sponsored by National Institutes of Health R01, NSF CAREER award, and Toyota Mobility Foundation. We won the Innovation Challenge of Wearable Robotics Association, semi-finalist of Cisco Global Problem Solver Challenge, and Toyota Mobility Challenge Discovery Award.
Lab members will work remotely during the pandemic to ensure safety. Our paper on soft robots is published in Science Advances (impact factor 13).
The selected candidate will join a multidisciplinary research team to study high-performance motors, control of soft robots and legged robots in collaboration with CMU, Columbia University Medical Center, Cornell University, and several top medical schools in the United States.
This is a great opportunity to pioneer research in a new generation of wearable, legged, and soft robot platforms to publish high-impact papers alongside several PIs who have expertise in mechatronics, computer vision, and machine learning.
Postdoc Qualification:
- PhD in Mechanical, Electrical Engineering, Robotics, Computer Science, or related areas including
- Strong hands-on experience
- Dynamics and control of robotic systems, including soft, wearable, humanoid, or legged robots
- Machine learning, reinforcement learning, and learning-based control
- Mechanical design of wearable robots, soft robots, humanoid, legged robots. Experience in actuator design, cable transmission, hydraulics, pneumatics or is a plus
- Biomechanics, proficient with kinematics, kinetics, Visual3D, motion capture system, metabolics, and EMG analysis
- Strong interpersonal and organizational skills needed to participate as a creative member of a growing research team.
PhD students can be admitted in 2020 fall (deadline 2020 July). PhD students will receive tuition scholarship and stipend support. Students are required to have GRE and TOEFL (or IELTS).
** About the lab and City University of New York **
The Biomechatronics lab is a 1500 sq. ft. facility with the latest generation motion capture system, humanoid platforms, state of the art physiology measurement devices, cameras, IMUs, high-performance motors, and more. The lab is a vibrant workplace; students can work on a diverse set of projects, conduct hands-on experiments, and publish high-quality papers.
Applications (assembled as a single PDF file) should contain a CV, a list of publications, and copies of up to four scientific papers. Applications should be emailed to Prof. Hao Su (hao.su at ccny.cuny.edu).
Hao Su, Ph.D.
Irwin Zahn Endowed Assistant Professor
Director, Lab of Biomechatronics and Intelligent Robotics
Department of Mechanical Engineering
City University of New York, City College
275 Convent Avenue New York, NY 10031
Web: haosu-robotics.github.io
The postdoc position is in New York City and jointly affiliated with CUNY and National Institutes of Health (NIH).
The lab is comprised of 4 postdocs and 5 PhD students.
Our research is sponsored by National Institutes of Health R01, NSF CAREER award, and Toyota Mobility Foundation. We won the Innovation Challenge of Wearable Robotics Association, semi-finalist of Cisco Global Problem Solver Challenge, and Toyota Mobility Challenge Discovery Award.
Lab members will work remotely during the pandemic to ensure safety. Our paper on soft robots is published in Science Advances (impact factor 13).
The selected candidate will join a multidisciplinary research team to study high-performance motors, control of soft robots and legged robots in collaboration with CMU, Columbia University Medical Center, Cornell University, and several top medical schools in the United States.
This is a great opportunity to pioneer research in a new generation of wearable, legged, and soft robot platforms to publish high-impact papers alongside several PIs who have expertise in mechatronics, computer vision, and machine learning.
Postdoc Qualification:
- PhD in Mechanical, Electrical Engineering, Robotics, Computer Science, or related areas including
- Strong hands-on experience
- Dynamics and control of robotic systems, including soft, wearable, humanoid, or legged robots
- Machine learning, reinforcement learning, and learning-based control
- Mechanical design of wearable robots, soft robots, humanoid, legged robots. Experience in actuator design, cable transmission, hydraulics, pneumatics or is a plus
- Biomechanics, proficient with kinematics, kinetics, Visual3D, motion capture system, metabolics, and EMG analysis
- Strong interpersonal and organizational skills needed to participate as a creative member of a growing research team.
PhD students can be admitted in 2020 fall (deadline 2020 July). PhD students will receive tuition scholarship and stipend support. Students are required to have GRE and TOEFL (or IELTS).
** About the lab and City University of New York **
The Biomechatronics lab is a 1500 sq. ft. facility with the latest generation motion capture system, humanoid platforms, state of the art physiology measurement devices, cameras, IMUs, high-performance motors, and more. The lab is a vibrant workplace; students can work on a diverse set of projects, conduct hands-on experiments, and publish high-quality papers.
Applications (assembled as a single PDF file) should contain a CV, a list of publications, and copies of up to four scientific papers. Applications should be emailed to Prof. Hao Su (hao.su at ccny.cuny.edu).
Hao Su, Ph.D.
Irwin Zahn Endowed Assistant Professor
Director, Lab of Biomechatronics and Intelligent Robotics
Department of Mechanical Engineering
City University of New York, City College
275 Convent Avenue New York, NY 10031
Web: haosu-robotics.github.io