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Postdoctoral fellowship in human motor control
We are seeking applications for a 1 or 2 year postdoctoral fellowship
in the pediatric movement disorders laboratory at Stanford University
Medical Center. We are currently investigating the ability of normal
children and children with movement disorders to control the activity
of pairs of muscles in unknown and time-varying environments. The
successful candidate will expand on our existing projects and initiate
new projects to study the voluntary control of individual muscles and
muscle groups in normal subjects and in children with movement
disorders.
Current experiments in the laboratory investigate the ability of normal
and impaired subjects to control the activity of pairs of muscles
measured using surface EMG. Experiments could be designed to compare
learning rates, measure adaptation to changes in EMG feedback, noise,
or other sources of unpredictability, and implement strategies for
increasing learning rate in order to develop precise control. Results
of experiments could have applicability to understanding childhood
movement disorders including dystonia, spasticity, ataxia, apraxia,
cerebral palsy, and other conditions that may impair movement or motor
learning. Results could also be useful in the design of human-machine
interfaces based on surface EMG.
Skills required for successful accomplishment of such experiments
include knowledge of surface EMG measurement systems, a/d conversion
and computer interfacing, signal processing and analysis, statistical
analysis of results, motor learning theory, and C++ programming.
Experience in the design of psychophysics or biofeedback experiments
and computer programming for automation of such experiments is also
very important. The software environment uses Visual C++ 6, Visual
Basic, and Matlab. Computational models of motor learning are based on
the theory of neural networks as models for systems neurophysiology.
Lastly, it is very important that the candidate have an interest in
working with children, including children with movement disorders.
The pediatric movement disorders laboratory studies the kinematics and
electrophysiology of children with impaired movement, in order to
understand the basic processes and computational models that can
explain these disorders and hopefully lead towards treatments. The
laboratory is situated within the medical school at Stanford
University, in close proximity to the departments of Bioengineering,
Electrical Engineering, and Mechanical Engineering, with whom we have
active collaborations. The laboratory and the pediatric movement
disorders clinic at Packard Children's Hospital are both directed by
Dr. Terence Sanger. Please send curriculum vitae and a list of
research interests to sanger@stanford.edu.
Terence D. Sanger, MD PhD
Div. Child Neurology and Movement Disorders
Stanford University Medical Center
300 Pasteur, Room A347
Stanford, CA 94305-5235 USA
(650) 726-2154 FAX: 725-7459
sanger@stanford.edu
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We are seeking applications for a 1 or 2 year postdoctoral fellowship
in the pediatric movement disorders laboratory at Stanford University
Medical Center. We are currently investigating the ability of normal
children and children with movement disorders to control the activity
of pairs of muscles in unknown and time-varying environments. The
successful candidate will expand on our existing projects and initiate
new projects to study the voluntary control of individual muscles and
muscle groups in normal subjects and in children with movement
disorders.
Current experiments in the laboratory investigate the ability of normal
and impaired subjects to control the activity of pairs of muscles
measured using surface EMG. Experiments could be designed to compare
learning rates, measure adaptation to changes in EMG feedback, noise,
or other sources of unpredictability, and implement strategies for
increasing learning rate in order to develop precise control. Results
of experiments could have applicability to understanding childhood
movement disorders including dystonia, spasticity, ataxia, apraxia,
cerebral palsy, and other conditions that may impair movement or motor
learning. Results could also be useful in the design of human-machine
interfaces based on surface EMG.
Skills required for successful accomplishment of such experiments
include knowledge of surface EMG measurement systems, a/d conversion
and computer interfacing, signal processing and analysis, statistical
analysis of results, motor learning theory, and C++ programming.
Experience in the design of psychophysics or biofeedback experiments
and computer programming for automation of such experiments is also
very important. The software environment uses Visual C++ 6, Visual
Basic, and Matlab. Computational models of motor learning are based on
the theory of neural networks as models for systems neurophysiology.
Lastly, it is very important that the candidate have an interest in
working with children, including children with movement disorders.
The pediatric movement disorders laboratory studies the kinematics and
electrophysiology of children with impaired movement, in order to
understand the basic processes and computational models that can
explain these disorders and hopefully lead towards treatments. The
laboratory is situated within the medical school at Stanford
University, in close proximity to the departments of Bioengineering,
Electrical Engineering, and Mechanical Engineering, with whom we have
active collaborations. The laboratory and the pediatric movement
disorders clinic at Packard Children's Hospital are both directed by
Dr. Terence Sanger. Please send curriculum vitae and a list of
research interests to sanger@stanford.edu.
Terence D. Sanger, MD PhD
Div. Child Neurology and Movement Disorders
Stanford University Medical Center
300 Pasteur, Room A347
Stanford, CA 94305-5235 USA
(650) 726-2154 FAX: 725-7459
sanger@stanford.edu
-----------------------------------------------------------------
To unsubscribe send SIGNOFF BIOMCH-L to LISTSERV@nic.surfnet.nl
For information and archives: http://isb.ri.ccf.org/biomch-l
Please consider posting your message to the Biomch-L Web-based
Discussion Forum: http://movement-analysis.com/biomch_l
-----------------------------------------------------------------