Postdoctoral Fellow in Neuroimaging


Icahn School of Medicine at Mount Sinai


New York, New York

Principal Investigator

Priti Balchandani


Interested individuals should send a CV, a brief statement of interests, and a list of referees to Dr. Priti Balchandani (  The position is immediately available until filled.


The BioMedical Engineering and Imaging Institute (BMEII) at The Icahn School of Medicine at Mount Sinai is seeking a motivated postdoctoral fellow to develop and apply novel MRI techniques in neuroimaging in conjunction with PET data with applications to Alzheimer’s disease. This is an excellent opportunity to conduct innovative imaging research as a member of a team of technical and clinical experts with access to state-of-the-art imaging equipment housed at the Hess Center for Science and Medicine in New York City. The position will be based in the neuroimaging group mentored by Priti Balchandani, director of the advanced neuroimaging research program, with an affiliation with the program in neuroimaging and biomarker research in aging and Alzheimer’s disease, mentored by Trey Hedden.

Position responsibilities include independent research, contributions to publications and grants, and leadership roles within the Institute. Opportunities for teaching also exist. The candidate will primarily work on development and implementation of MRI acquisition and analysis methods at 7T and 3T, and on translational research integrating PET and MRI data. The work will consist of MR pulse sequence implementation, image acquisition on patients and healthy volunteers and post-processing of imaging data. The postdoctoral fellow is also encouraged to develop their own research projects within the mission areas of the BMEII. 

The postdoctoral position is a full-time research position. Initial appointment will be for one year with renewable appointments for subsequent years. Salary will be commensurate with experience and the cost of living in New York. Subsidized housing close to the Mount Sinai campus is available.


The candidate should have a Ph.D. in one of the following: engineering, physics, chemistry, mathematics, computer science, neuroscience, or a related field. Demonstrated research experience and publication records are necessary. Experience with Siemens IDEA and ICE environments are preferred.