Doctoral Position in Neuroimaging – Quantitative Neuroimaging Laboratory (QNL), Biomedical Engineering Department, Columbia University, NYC

 

Application Deadline December 15, 2016

 

Job Summary:

 

QNL (http://www.columbia.edu/cu/qnl/) invites applications for a full-time doctoral position to conduct processing and analyzing of MRI and fMRI neuroimaging data, as part of multiple research studies on aging and Alzheimer’s disease.

 

Principal Responsibilities:

 

The primary responsibility of this position includes developing novel image processing and statistical analysis methods for reconstruction of brain functional magnetic resonance images and its accompanying structural MRI data from healthy and diseased participants of multiple studies all focusing on aging and Alzheimer’s disease.

 

The QNL is a new research infrastructure housed in the Cognitive Neuroscience Division of the Columbia University Medical Center, Neurology Department, and Biomedical Engineering Department. The main focus of the QNL is to develop techniques to quantify structural and functional brain images which allow researchers and clinicians to detect brain-based effects that are normally beyond the sensitivity and specificity of commonly-used detection methods in the field. We aim to achieve this goal by utilizing state-of-the-art signal and image processing tools as well as mathematical and statistical method. We are affiliated with Sergevsky Center, and the Taub Institute for Research on Alzheimer’s Disease and the Aging Brain.

 

Required Qualifications:

 

·       Master or Bachelor degree in Biomedical/Electrical Engineering, Computer Science, Medical Physics, Neuroscience or related disciplines.

·        Familiarity in MRI analysis and related statistical methods for research (SPM, Freesurfer, FSL, AFNI or similar).

·        Experience with image processing, magnetic resonance imaging and data analysis (Digital image processing and Medical image processing and MRI courses are big pluse)

·       Strong computer programming skills (e.g., in C/C++, Matlab, R,  and especially Python) are highly desirable.

·        Ability to think independently and work collaboratively.

 

Benefits

·       Starting date: August 2017 or earlier.

·       Full-tuition is paid

·       Student housing is available in the vicinity of Columbia University

·        Stipend will be paid based on internal policies of the BME department.

 

 

Additional Information:

 

Detailed information about application can be found in the following link. To apply, please submit your full application electronically at:  

http://bme.columbia.edu/graduate-admissions-0

Should you have any question or concerns please contact Dr. Razlighi at: +1-212-342-1838 or

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