Joint Research Fellow position at Dalian University of Technology (China) and The University of Tokyo (Japan)
Postdoctoral Research Fellow / 2 positions
2. Term of Employment:
3 years (February 1, 2023)
3. Renewal of Contract:
The contract is renewable on a fiscal year basis (from April 1 to March 31) according to research activity, and research achievements and health conditions
4. Working style:
Full-time (1.5 year at DUT, and 1.5 year at UT)
5. Location and Salary:
DUT Lingshui Campus: No.2, Linggong Road, Ganjingzi District, Dalian City, Liaoning Province, 116024, China
DUT is one of the top universities in Daian, China. We have the most beautiful beaches and scenery in the whole world! The gross monthly salary in accordance with the Collective Labor Agreement of the Dalian University of Technology, from ¥ 15,000 to 25,000 yuan per month. (300,000 yuan of housing allowance if recognized as Young Talent of Dalian.*)
* Please contact DUT HR for more details about the policies.(English、中文)
UT Tokyo Hongo Campus: Hongo 7-3-1, Bunkyo-ku, Tokyo 153-8505, Japan
UT is one of the top public universities in Tokyo, Japan. The gross monthly salary is ¥ 350,000 to 450,000 yen per month.
6. Job Description:
Positon 1: "Human Neuromusculoskeletal Digital Twin"
As a part of the research project "Human Neuromusculoskeletal Digital Twin", the successful candidate will work on projects related to development of human Neuromusculoskeletal Digital Twin from the sensor-fusion based motion capture system to the neuromusculoskeletal model, which in target with the precision medicine of human neuromusculoskeletal system. We are looking for a creative, self-motivated researcher who has the ability and the drive to pursue challenging, interdisciplinary problems in a fast-paced research environment.
Focus areas:
Neuromechanical simulation of human locomotion:
• Sensor-fusion based motion capture system
• Musculoskeletal simulation
• Physics simulation and reinforcement learning
Soft robotic assistive devices:
• Leg exoskeletons design
• Human-in-the-loop optimization
• Human subject experiment
Job Duties:
• Conduct research in modelling of neuromusculoskeletal system and designing of leg exoskeletons
• Publish results in reputed journals; prepare reports; present research in conferences
• Write proposals to funding agencies
• Mentor PhD, MS, and undergraduate students
Positon 2: “Next-generation Ultra-precise Manufacturing System”
As a part of the research project “Next-generation Ultra-precise Manufacturing System”, we develop novel manufacturing systems that address the advancing needs in high-speed, high-precision, and high-efficiency manufacturing. The goal is achieved by grasping the machining state based on on-machine measurement and feedback to the machining process. The successful candidate will work on projects related to dynamics analysis and control systems of the manufacturing system.
We are looking for a creative, self-motivated researcher who has the ability and the drive to pursue challenging, interdisciplinary problems in a fast-paced research environment.
Focus areas:
Digital modelling of manufacturing system:
• Sensor-fusion based monitoring system
• Structure design of manufacturing system
• Dynamics analysis of manufacturing system
• Advanced sensor design and fabrication
• Real-time feedback system
Manufacturing–Mechanism analysis:
• Analysis of self-excited vibration
• Experimental modal analysis
• Condition monitoring based on machine learning
Job Duties:
• Conduct research in design and control of manufacturing system
• Publish results in reputed journals; prepare reports; present research in conferences
• Write proposals to funding agencies
• Mentor PhD, MS, and undergraduate students
7. Qualifications and Requirements:
PhD in Mechanical Engineering, Mechatronics, Computer Science, Biomedical Engineering, or Robotics with relevant background in musculoskeletal modeling or robotic exoskeleton development. Strong competencies in dynamics, robotics, and simulation in python, and MATLAB programming are essential.
Knowledge and experience in the following areas will be considered in the assessment:
• Experience in design and control of exoskeletons
• Experience in variable stiffness mechanism and actuators
• Experience in model predictive control
• Experience in biomechanics of human/robotic systems
• Experience in working with human participants, especially clinical populations (e.g., individuals with a stroke)
You may obtain further information from Prof. Liming Shu (l.shu@dlut.edu.cn) and Prof. Naohiko Sugita (sugi@mfg.t.u-tokyo.ac.jp)