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 1^st, 2016, 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

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