Lorenzo Masia

@NTU

Post Doc Position (2 position available)

Apply Online Here!

 

Description:
This project aims to use a novel device for Wrist Rehabilitation for purposes of assessment and treatment for patients with upper limb impairments following stroke.
Stroke commonly causes long-term consequences affecting muscle strength and position sense (proprioception) and as a result causes disability and handicap.
Deficits of proprioception are often neglected and can impair movements and function beyond muscle strength.  Assessment of proprioceptive deficits is currently very subjective and is often only quantitative. Current rehabilitation following stroke is labour intensive and thus expensive.  Robotic systems may offer opportunities for alternate rehabilitation systems.
Scope of the Project:
All the reserach activities are coordinated by NTU Assitive Robotics and Interactive Ergonomic System Lab (ARIES) and Singapore General Hospital (SGH) Neurology  & Rehabilitation Division and Tan Tock Seng Hospital (TTSH) Center for Advance Rehabilitation Technology.
The project will be articulated in the following steps:
1-Implement on our robotic device for wrist rehabilitation a novel algorithm for assessment of proprioceptive disorders and motor rehabilitation.
2-Test the device in a randomized clinical trial in collaboration with SGH and TTSH which are the co-principal investigators of the project.

 

Requirements
We are looking for a scientist with the following competences/skills:

• Background Mechanical, Biomedical, Electrical Engineering, with special emphasis in Haptics, Mechatronics, applied Biomechanics and numerical method for data analysis
• Proficiency in MatLab Simulink Programming Environment;
• Background in clinical rehabilitation and physical therapy is also highly considered especially for the part of the project related to clinical data collection and analysis.
• Basic knowledge of neurology and neurophysiology

All the above competences/skills are highly desirable but not all are strictly mandatory.
Strong organizational skills, creativity, motivation and communication skills (oral and written) are highly required, such as the capacity to work in a multidisciplinary team and in contact with patients in clinical environment.
The prospective candidate has a Ph.D. in Mechatronics, Mechanical/Aerospace/Biomedical/Electrical Engineering, Robotics, Physical Therapy, Biomechanics or related fields.

 

 

PhD Position

PhD Position available in Soft Exoskeleton for Upper Limb Assistance/Augmentation at Nanyang Technological University (NTU, Singapore)

Robotic exoskeletons have been developed for a large number of applications and now they represent the new frontiers in human augmentation and assistive devices. Such kind of technology is mainly devoted to assist in activities of daily living or rehabilitation for people who suffer from neurological impairments of spinal cord injuries. Exoskeletons have been extensively designed for walking assistance, with stationary solutions, mounted over treadmill in hospitals and used to provide gait and retraining or rehabilitation. All these solutions were mainly focused on lower limb, while for the upper limb assistance at present few effective devices have been developed. The reason can be found in the complexity of the actions that a human arm/hand must perform, starting form a simple movement of the shoulder which involves multiple degrees of freedom, to a series of complex manipulation of objects that are usually made by using the hands. That's why the technologies for upper limb rehabilitation are bulky systems, usually designed for mobilization of elbow and shoulder, and deployed in hospitals for constrained induced motion therapy.
The present project aims at designing a new concept of assistive devices based on soft materials. The use of the system will be mainly devoted to provide assistance to arm movement for elders or neurologically impaired subjects, lacking of capacity of motion and arm/hand dexterity. Assisting individuals, able-bodied or patients with partial impairments poses particular challenges, especially when using robotic devices or exoskeletons. To work toward these goals, we propose a new paradigm in assistive device design, which we call soft clothing-like Exosuits. These are devices that use textiles to interface with the body and apply joint torques via tensile forces over the outside of the body in parallel with the muscles, using the bone structure to support compressive loads.
The scope of the project is merging two main expertise in mechatronics and smart clothing design and to develop a new wearable exoskeleton for human assistance. Furthermore the exoskeleton (or Exosuit) will be powered by a novel generation of actuators based on tendon driven transmission which will be integrated in the textiles such as  new sensing technology using carbon nanotubes to detect muscles activity and motion from the user.
The long goal is to create a portable wearable Exosuit that assists or augments people with disabilities and lack of muscular control, by providing assistance and reducing metabolic expenditure when carrying or manipulating a load during activities of daily living.
The candidate will be enrolled in a vibrant and multidisciplinary environment and she/he will be asked to join the team working on the project by providing inputs and improvements in the design and characterization of the device, for both the engineering counterpart and the research related to smart wearable textiles. More specifically we aim at designing a new kind of device made by intelligent garments which will embed wearable instrumentations such as conductive materials, electromyography and biosignal sensors in general, and will allow to have a product based on high tech solutions, simplicity and superior ergonomics compared on pre-existing works
Your profile: We are looking for excellent applicants with a Bachelor or Master degree in Mechanical Engineering, Robotics, Computer Science, Applied Mathematics, Materials Science or a related area of study, who are motivated to carry out internationally leading research.

Knowledge in one or more of the following topics is mandatory: robotics and mechatronics, control design, computer-aided design (CAD), computational structural mechanics, computational design, applied computing and applied artificial intelligence.

What we are offering: The PhD positions are fully funded with a competitive salary (tuition fee is covered by NTU). You will be part of a highly motivated, international team at one of the most competitive universities in Asia and in the world. Besides working in our growing, ambitious team you will also have the chance to collaborate with numerous faculty, other labs and industrial partners co-funding the project.

Intakes:
PhD starting date August 2016, application deadline is 15th March 2016.

Application: Please contact at first Asst Prof Lorenzo MASIA for further info by email: This email address is being protected from spambots. You need JavaScript enabled to view it.

How to apply:
•         Apply to IGS: http://venus.wis.ntu.edu.sg/GOAL/OnlineApplicationModule/frmOnlineApplication.ASPX       
 
•         Incomplete submission will be rejected. Please visit http://admissions.ntu.edu.sg/graduate/R-Programs/Pages/default.aspx to find out details on how to apply before making a formal application.
 
•         For admission requirements, please kindly refer to http://igs.ntu.edu.sg/Programmes/Prospective%20Students/Pages/Programme-Highlights.aspx 
 
•         For admission procedures, please kindly refer to http://igs.ntu.edu.sg/Programmes/Prospective%20Students/Pages/Admission-Procedures.aspx 
 
•         A list of PhD research projects for prospective students is available at http://nithm.ntu.edu.sg/mainprogramme/GraduateProgramme/Pages/Home.aspx under the heading of PhD Research Projects.

 

 

 

Description:
This project aims to use a novel device for Wrist Rehabilitation for purposes of assessment and treatment for patients with upper limb impairments following stroke.
Stroke commonly causes long-term consequences affecting muscle strength and position sense (proprioception) and as a result causes disability and handicap.
Deficits of proprioception are often neglected and can impair movements and function beyond muscle strength.  Assessment of proprioceptive deficits is currently very subjective and is often only quantitative. Current rehabilitation following stroke is labour intensive and thus expensive.  Robotic systems may offer opportunities for alternate rehabilitation systems.
Scope of the Project:
All the reserach activities are coordinated by NTU Assitive Robotics and Interactive Ergonomic System Lab (ARIES) and Singapore General Hospital (SGH) Neurology  & Rehabilitation Division and Tan Tock Seng Hospital (TTSH) Center for Advance Rehabilitation Technology.
The project will be articulated in the following steps:
1-Implement on our robotic device for wrist rehabilitation a novel algorithm for assessment of proprioceptive disorders and motor rehabilitation.
2-Test the device in a randomized clinical trial in collaboration with SGH and TTSH which are the co-principal investigators of the project.

 

Requirements
We are looking for a scientist with the following competences/skills:

• Background Mechanical, Biomedical, Electrical Engineering, with special emphasis in Haptics, Mechatronics, applied Biomechanics and numerical method for data analysis
• Proficiency in MatLab Simulink Programming Environment;
• Background in clinical rehabilitation and physical therapy is also highly considered especially for the part of the project related to clinical data collection and analysis.
• Basic knowledge of neurology and neurophysiology

All the above competences/skills are highly desirable but not all are strictly mandatory.
Strong organizational skills, creativity, motivation and communication skills (oral and written) are highly required, such as the capacity to work in a multidisciplinary team and in contact with patients in clinical environment.
The prospective candidate has a Ph.D. in Mechatronics, Mechanical/Aerospace/Biomedical/Electrical Engineering, Robotics, Physical Therapy, Biomechanics or related fields.

 

 

 

Conference

IEEE BIOROB 2016 (clickhere)

 

Editors

  • L. Masia, Nanyang Tech. University
  • S. Kukreja, National University of Singapore

 

 


New Journal on Rehabilitation Technology

Journal of Rehabilitation and Assistive Technologies Engineering (click here)

Lorenzo MASIA (Associate Editor)

 

 

Journal Topics

Research Topic (click here)

 

 

Red

IEEE ICORR 2015

International Conference on Rehabilitation Robotics

Singapore 11th-14th August 2015 Hosted by NTU

General Chair: Wei Tech ANG

Program Chair: Lorenzo MASIA

 

Conference

Lorenzo MASIA Editor of Biorob 2014

 

 

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