[FieldTrip] Postdoctoral Fellowship in Neurorehabilitation and Neuroimaging Research - Rutgers University / Kessler Foundation

[Soha Saleh - Research Scientist]

Dear Fieldtrippers,
The Kessler Foundation (West Orange, New Jersey, USA) and Rutgers University are recruiting postdoctoral fellows to conduct Neurorehabilitation and Neuroimaging Research. Applications are being accepted for fellowships funded by an Advanced Rehabilitation Research Training (ARRT) grant from the National Institute on Disability and Rehabilitation Research (NIDILRR), and are expected to last for a two-year term. Qualifying candidates must have an earned doctorate in engineering (e.g., biomedical, rehabilitation mechanical), neuroscience, or a related field. Strong candidates will have prior experience in performing neuroimaging research studies in human subjects, as well as some history of publication and presentation of original research.
The successful candidate will work on ongoing research that uses neuroimaging to better understand motor related impairment following neurological, neuromuscular and musculoskeletal diseases and injuries, for diverse patient populations including traumatic brain injury, multiple sclerosis, spinal cord injury, cancer, and stroke. To this end, our research uses a multimodality approach that includes neuroimaging (fMRI, MRI, fNIRS, EEG) combined with eye tracking, electrophysiology analysis, and motion analysis. The Kessler Foundation has research-dedicated 3 Tesla MRI scanner, state-of-the-art mobile imaging equipment (EEG, fNIRS), instrumented treadmill with virtual reality (C-Mill), Neurocom Balance Platform, biodex, and is a leader in powered exoskeleton assisted rehabilitation therapy. The successful applicant will also be expected to develop his/her own mentored research project. He/she will work on various aspects of research projects from inception (e.g., study formulation, grant-writing, etc.), through dissemination (conference presentation and manuscript publication).
Requirements include:

*        Background and experience in functional and/or structural MRI image processing (DTI, fMRI), and ideally connectivity analysis (resting state functional connectivity, effective connectivity, graph theory-based analysis)

*        Experience in programming, preferentially Matlab

*        Knowledge of statistical data analysis

*        Excellent written communication skills
Preferred experience/qualifications:

*        Research studies in human subjects, and history of publication and presentation of original research

*        EEG/EMG/fNIRS data collection and analysis

*        Biomedical Instrumentation

*        Neuromuscular rehabilitation; brain and muscle electrophysiology

*        Image-processing software such as FSL, AFNI, SPM, EEGLAB, Brainstorm
All fellows participate in an extensive training curriculum and didactic offerings. Administration of the ARRT fellowships occurs within the academic Department of Physical Medicine and Rehabilitation at Rutgers New Jersey Medical School (RNJMS), Rutgers University in New Jersey. Please consult our website for more information about Kessler and the Fellowship program (http://www.kesslerfoundation.org/research/).

Initial and informal inquiries about the fellowship may be directed by email to Guang Yue, Ph.D. ARRT Project Director at GYue at kesslerfoundation.org<mailto:GYue at kesslerfoundation.org> . Applications should include a letter of application, Curriculum Vitae and one-page statement of research interests to be sent by email to: career at kesslerfoundation.org<mailto:career at kesslerfoundation.org> . Applicants can also submit application through Rutgers University https://jobs.rutgers.edu/postings/84872 . Candidates should request three letters of recommendation from professional associates to be mailed to the Project Director (address above).

Due to limitations in resources, we regret that only candidates whose applications are brought forward by the fellowship committee will be contacted. In addition to citizens and permanent residents of the US, non-citizen nationals, and non-immigrants are eligible to apply provided they can be lawfully employed in the U.S.


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https://doi.org/10.1371/journal.pcbi.1002202