PhD student position in Biomedical Engineering# DataSciences - 数据科学
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Open position: PhD student in Computational Neuroimaging
Application Due: October 1st, 2015
Starting date: 2016 Spring Semester
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).
Candidate Requirements: The candidate should have a Master’s degree in
biomedical engineering, electrical and computer engineering, computer
science, mathematics, physics, computational neurosciences or a related
discipline. Expertise in brain imaging and/or programming is highly
preferred.
Tasks of the PhD student: To work in collaboration with clinical and
engineering departments for the development and application of new
methodologies; to analyze complex multi-modal and longitudinal neuroimaging
and clinical data; to participate in MRI data acquisition, manuscripts
writing.
Programming Languages and Toolboxes employed in the lab: Matlab, C/C++,
Python, Shell Scripts, R, SAS, FSL, FreeSurfer, SPM, AFNI, etc.
Operating Systems employed in the lab: Linux based high performance parallel
computing system.
Contact: The candidature (Research Statement, CV, copies of the transcript
and diploma) goes 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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Application Due: October 1st, 2015
Starting date: 2016 Spring Semester
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).
Candidate Requirements: The candidate should have a Master’s degree in
biomedical engineering, electrical and computer engineering, computer
science, mathematics, physics, computational neurosciences or a related
discipline. Expertise in brain imaging and/or programming is highly
preferred.
Tasks of the PhD student: To work in collaboration with clinical and
engineering departments for the development and application of new
methodologies; to analyze complex multi-modal and longitudinal neuroimaging
and clinical data; to participate in MRI data acquisition, manuscripts
writing.
Programming Languages and Toolboxes employed in the lab: Matlab, C/C++,
Python, Shell Scripts, R, SAS, FSL, FreeSurfer, SPM, AFNI, etc.
Operating Systems employed in the lab: Linux based high performance parallel
computing system.
Contact: The candidature (Research Statement, CV, copies of the transcript
and diploma) goes 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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