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PhD funding is available as part of a flagship project of the newly funded Medical Device Technologies Centre of Research Excellence. The overall goal of the project is to use real-time EMG and kinematic data from the upper limb of hemiparetic stroke patients to infer their movement intention. Intention signals will then be combined with knowledge of the neuromuscular dynamics of the limb to produce commands for assistive devices such as wearable robots.
This PhD position will focus on the movement neuroscience and biomechanical aspects of this overarching project. Relevant issues for investigation may include:
● movement properties of hemiparetic stroke patients
● the role of muscle synergies in upper limb control
● decoding of movement intention from EMG and kinematic data
● quantification of dynamic neuromuscular behaviours and their encapsulation into computational biomechanical models
● evaluation of the effect of assistance on movement capacity and rehabilitative outcomes
The work will be based in the Movement Neuroscience Laboratory in the Department of Sport and Exercise Science (SES), co-supervised by Dr Angus McMorland (SES), Prof Winston Byblow (SES) and Assoc Prof Thor Besier of the Auckland Bioengineering Institute (ABI).
The project is funded by the Medical Device Technology (MedTech) Centre of Research Excellence (CoRE), for 3 years, starting early 2015, covering tuition fees and the standard doctoral stipend of $25,000 p.a.. It will also link to funding awarded from the Ministry of Business, Innovation & Employment International Relationships Fund NZ–Japan Strategic Partnership Building in Robotics & Human Assistive Devices for Elderly Care, and through the Bionic Joint project between the ABI and Fraunhofer IPA in Germany.
Applicants should have a Masters degree or Bachelors degree (Hons) in Physiology, Sport Science, Kinesiology, Psychology or a related field. Experience with EMG and kinematic measurement, signal processing and computation will be beneficial, as will a solid theoretical knowledge of the human motor control system, the functioning of nerves, muscles and human anatomy.
For further information or to apply, contact Dr Angus McMorland, a.mcmorland@auckland.ac.nz. Applications should include an academic transcript, statement of research interests, description of previous research, and references. The application deadline is 28 February 2015.
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AJC McMorland
Lecturer in Computational Movement Science
Sport and Exercise Science | Centre for Brain Research
University of Auckland, New Zealand
This PhD position will focus on the movement neuroscience and biomechanical aspects of this overarching project. Relevant issues for investigation may include:
● movement properties of hemiparetic stroke patients
● the role of muscle synergies in upper limb control
● decoding of movement intention from EMG and kinematic data
● quantification of dynamic neuromuscular behaviours and their encapsulation into computational biomechanical models
● evaluation of the effect of assistance on movement capacity and rehabilitative outcomes
The work will be based in the Movement Neuroscience Laboratory in the Department of Sport and Exercise Science (SES), co-supervised by Dr Angus McMorland (SES), Prof Winston Byblow (SES) and Assoc Prof Thor Besier of the Auckland Bioengineering Institute (ABI).
The project is funded by the Medical Device Technology (MedTech) Centre of Research Excellence (CoRE), for 3 years, starting early 2015, covering tuition fees and the standard doctoral stipend of $25,000 p.a.. It will also link to funding awarded from the Ministry of Business, Innovation & Employment International Relationships Fund NZ–Japan Strategic Partnership Building in Robotics & Human Assistive Devices for Elderly Care, and through the Bionic Joint project between the ABI and Fraunhofer IPA in Germany.
Applicants should have a Masters degree or Bachelors degree (Hons) in Physiology, Sport Science, Kinesiology, Psychology or a related field. Experience with EMG and kinematic measurement, signal processing and computation will be beneficial, as will a solid theoretical knowledge of the human motor control system, the functioning of nerves, muscles and human anatomy.
For further information or to apply, contact Dr Angus McMorland, a.mcmorland@auckland.ac.nz. Applications should include an academic transcript, statement of research interests, description of previous research, and references. The application deadline is 28 February 2015.
--
AJC McMorland
Lecturer in Computational Movement Science
Sport and Exercise Science | Centre for Brain Research
University of Auckland, New Zealand