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Graduate Research Assistant

PhD research assistant position starting from spring or fall, 2014 at the Computational NeuroImaging and NeuroEngineering Lab of the School of Electrical and Computer Engineering and the Center for Biomedical Engineering in the University of Oklahoma in the following areas:

• Functional Electrophysiological Neuroimaging
• Source Localization
• Functional Magnetic Resonance Imaging
• Brain-computer Interface
• Human-Computer Interaction
• Neuroergonomics

Interested candidates with BS and MS degrees are welcome.
To apply, e-mail CV (pdf file) to Prof. Lei Ding at leiding@ou.edu For further information about the Laboratory, visit http://www.ou.edu/ouneuro.

The University of Oklahoma, Norman is an equal opportunity employer and educator.

Postdoctoral Research Associates

The Computational NeuroImaging and NeuroEngineering Lab of the School of Electrical and Computer Engineering and the Center for Biomedical Engineering at the University of Oklahoma, Norman invites applications for postdoctoral research associate positions. Candidates should hold a PhD or equivalent in biomedical engineering, electrical engineering, physics, or a related field. Experience in EEG/MEG forward/inverse modeling/imaging/mapping, bioelectromagnetic modeling and imaging, image segmentation and reconstruction, biomedical signal and image processing, or signal software development is desired.

The Laboratory has the following ongoing research projects: functional electrophysiological neuroimaging (MEG/EEG), source localization, functional magnetic resonance imaging, brain-computer interface, human-computer interaction, and neuroergonomics. The Laboratory has strong collaborations with investigators in various departments at the University of Oklahoma Health Science Center, and at the University of Texas Southwestern Medical Center, United Hospital, Minnesota, Federal Air Administration Tech Center, and the Laureate Institute for Brain Research, Tulsa, Oklahoma, among others.

To apply, e-mail CV (pdf file) to Prof. Lei Ding at leiding@ou.edu For further information about the Laboratory, visit http://www.ou.edu/ouneuro

The University of Oklahoma, Norman is an equal opportunity employer and educator.

2013 Research Opportunity for Undergraduate Students at OU Computational NeuroImaging and NeuroEngineering Laboratory

PI: Lei Ding, Ph.D. School of Electrical and Computer Engineering; Center for Biomedical Engineering 110 W. Boyd St., DEH 342, Norman, Oklahoma 73019 Phone: (405)325-4577 Email: leiding@ou.edu

If students are interested in the following projects, please contact with the PI. We have immediate opening for the first project.

Robot Assistants for Promoting Crawling in Children at Risk of Cerebral Palsy
Typically developing infants initially learn to crawl through the generation of spontaneous limb and trunk movements. The rewarding locomotory experience drives the infant to refine the movements to intentional and exploratory skills. Infants with conditions such as cerebral palsy lack the muscle strength, postural control, and motor coordination necessary for these early exploratory limb and trunk movements to result in locomotion. Without this positive feedback, the development of the neural pathways for productive limb use is diminished, which results in delayed or lack of development of crawling and walking. We will use robot to promote crawling in infants and use Electroencephalogram EEG to monitor the development of the children’ brain, particularly motor functions.

Brain-Computer Interface
A developing area of research is the investigation of brain-computer interfaces. In this work, new techniques are being developed to extract information from electrophysiological signals such as scalp EEG to estimate the intent of human subjects. The goals of this research are to develop a system that can read the “thought” of subjects and then control external devices based on the information extracted from the brain. It will require some computer knowledge in order to participating in the research project.

Functional Neuroimaging of Mental Fatigue
Recent advances in medical imaging technology have greatly increased our ability to image brain activations. Electroencephalogram (EEG) offers millisecond temporal resolution in detecting and characterizing dynamic brain activity. In this project, we use EEG to detect changes in the cognitive states of operators who perform air traffic control tasks. The purpose of the study is to demonstrate the suitability of using EEG recordings to identify neurophysiological markers of mental fatigue associated with performing air traffic control tasks.

The University of Oklahoma, Norman is an equal opportunity employer and educator.