Postdoc – Neural Bases Of Chemotherapy-Induced Cognitive Deficits In Survivors Of Childhood Leukemia

The Departments of Neuroscience (Dr. Elyse Sussman) and Radiology (Dr. Mark Wagshul) at the Albert Einstein College of Medicine in Bronx, NY, are seeking a full-time postdoctoral research associate to work on an NIH-funded project exploring the neural bases of chemotherapy-induced cognitive deficits (chemobrain) in survivors of childhood leukemia. The project employs both EEG-based and fMRI-based methods to understand chemo-related cognitive dysfunction in children ages 5-12 years. The position is available starting May-June 2021; the position is for two years with the possibility for renewal on a year-by-year basis.

  • Successful candidates for the position will have a PhD in physics, biomedical engineering, neuroscience or a related discipline, a strong background in either cognitive neuroscience or MRI physics, expertise in image and EEG data processing, as well as data and statistical analysis.
  • Programming experience should include the commonly used packages for image and EEG processing, such as C++, Matlab, and FSL.
  • The candidate should have significant experience in event-related potential (ERP) data collection and analysis methods and/or imaging in a clinical setting and a strong background in the development and/or application of novel methods for human brain imaging, such as DTI / fMRI / structural MRI data analyses.
  • Candidates with experience only in EEG-based or fMRI-based methods will be considered.
  • The candidate will allocate equal amounts of time to the EEG and MRI labs.
  • Prior experience with auditory-based ERP/fMRI is not necessary, but candidates with such experience will be given preference.
  • A strong work ethic, excellent organizational and communication skills, and ability to work independently is expected.
  • Previous experience working with child populations is a plus.
  • The candidate will be expected to be involved in all aspects of the project, including EEG, image and data analysis, statistical analysis, as well as interfacing with the clinical team.
  • Competitive salary and benefits will be offered based on qualifications.

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