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Brain-Body Dynamics Lab at the University of Southern California with professors:
Francisco Valero-Cuevas, Terry Sanger, and Jerry Loeb
Applications are invited for a Postdoctoral/Research Associate position in the Brain-Body Dynamics Laboratory within the Department of Biomedical Engineering at the University of Southern California. The Brain-Body Dynamics Lab, led by Prof. Francisco Valero-Cuevas, is dedicated to understanding the biomechanics, neuromuscular control and clinical rehabilitation of human mobility, with an emphasis on novel computational and experimental methods to uncover mechanisms for sensorimotor function, its rehabilitation and applications to other areas such as robotics and control. Our diverse approaches range from EMG recording and custom-made virtual reality modules, detailed characterization of neuromuscular structure and function, to mapping the function of the human brain with fMRI. These procedures in turn inform theoretical work to characterize complex sensorimotor function through rigorous and anatomically faithful mathematical models.
Our laboratory is accepting applications for NIH funded post-doctoral fellowships in research projects seeking to understand the neuromuscular control of complex systems and reverse-engineer brain control of the hand. In particular, we are looking for candidates with strong backgrounds in areas such as control and estimation of nonlinear systems, computational methods, robotics, and biomechanical modeling.
The research projects are designed to develop and test hypotheses about the selection and execution of muscle coordination for effective control of complex systems in simulation and experiments, sensorimotor integration in the presence of noise, the nature of muscle redundancy, and the functional structure of complex anatomical systems.
Preference will be given to candidates with experience in computational neuroscience and robotics research, but will consider other exceptionally qualified candidates. Expertise in computer languages (e.g., C++, MATLAB, etc) is necessary.
For application instructions go to:
Francisco Valero-Cuevas, Terry Sanger, and Jerry Loeb
Applications are invited for a Postdoctoral/Research Associate position in the Brain-Body Dynamics Laboratory within the Department of Biomedical Engineering at the University of Southern California. The Brain-Body Dynamics Lab, led by Prof. Francisco Valero-Cuevas, is dedicated to understanding the biomechanics, neuromuscular control and clinical rehabilitation of human mobility, with an emphasis on novel computational and experimental methods to uncover mechanisms for sensorimotor function, its rehabilitation and applications to other areas such as robotics and control. Our diverse approaches range from EMG recording and custom-made virtual reality modules, detailed characterization of neuromuscular structure and function, to mapping the function of the human brain with fMRI. These procedures in turn inform theoretical work to characterize complex sensorimotor function through rigorous and anatomically faithful mathematical models.
Our laboratory is accepting applications for NIH funded post-doctoral fellowships in research projects seeking to understand the neuromuscular control of complex systems and reverse-engineer brain control of the hand. In particular, we are looking for candidates with strong backgrounds in areas such as control and estimation of nonlinear systems, computational methods, robotics, and biomechanical modeling.
The research projects are designed to develop and test hypotheses about the selection and execution of muscle coordination for effective control of complex systems in simulation and experiments, sensorimotor integration in the presence of noise, the nature of muscle redundancy, and the functional structure of complex anatomical systems.
Preference will be given to candidates with experience in computational neuroscience and robotics research, but will consider other exceptionally qualified candidates. Expertise in computer languages (e.g., C++, MATLAB, etc) is necessary.
For application instructions go to: