Open position: Postdoctoral Research Associate in Computational Neuroimaging
This is a two years position, renewable for longer term based upon
performance and productivity. Review of applicants will begin on August 1st,
2015, and will continue until the position is filled.
The successful candidate will contribute to research in the Computational
Neuroanatomy and Neuroinformatics Lab (CNN Lab) of the Biomedical
Engineering Department at New Jersey Institute of Technology. The Lab
focuses on development and implementations of analytic and statistic models
for providing quantitative biological criteria that help diagnosis of
cognitive deficits, by integrating high-dimensional multi-modal neuroimaging
, clinical and behavioral data and refined imaging analysis and multivariate
machine learning techniques. The collaborative research team includes
renowned quantitative and clinical scientists affiliated at New Jersey
Institute of Technology, Rutgers University, Icahn School of Medicine at
Mount Sinai, City University of New York, and Albert Einstein College of
Medicine. The multiple neuroimaging modalities involved in the lab includes
structural MRI, DTI, task-based and resting-state fMRI and functional near-
infrared spectroscopy (fNIRS). The study population greatly focuses on
children with Attention Deficit/Hyperactivity Disorder (ADHD), Autism
Spectrum Disorder (ASD), Mood Disoder (MD), and Traumatic Brain Injury (TBI).
Qualifications of candidate:
• A PhD degree in biomedical engineering, electrical and computer
engineering, computer science, mathematics, statistics, computational
neurosciences or a related quantitative field
• Research experiences in analyses of neuroimaging data collected
from any of the following modalities: structural MRI, DTI, fMRI, fNIRS, and
EEG/ERP
• Strong programming skills in any of the following languages:
Matlab, C/C++, Python, Shell Scripts, R, SAS, and extensive knowledge on
Unix/Linux operating systems
• Candidates with strong experience on machine learning, pattern
classification, regression methods, or sparse representation are
particularly encouraged to apply.
• Additional qualifications include ability to work well in a
multidisciplinary, highly collaborative research team; interest in
translational research between neuroscience, computational models, and
clinical populations, and s strong record or potential for scholarly
productivity.
Contact: Please email your CV, statement of research interests and career
goals, and copies of representative publications in a single PDF document to
Dr. Xiaobo Li
Associate Professor of Biomedical Engineering
Director of the Computational Neuroanatomy and Neuroinformatics Lab (CNN Lab
)
New Jersey Institute of Technology
[email protected]
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