The Buffalo Neuroimaging Analysis Center is seeking a skilled postdoctoral fellow to design, implement, and apply existing and novel MRI analysis approaches in neurological disease. Our group studies structural and functional changes in diseases including multiple sclerosis, Parkinson's, Alzheimer's, and stroke.

Candidates must have a passion for creative and independent research, as well as a recent PhD in one of the following fields: neuroimaging analysis, biomedical engineering, mathematics, statistics/machine learning, computer science, or a related area. The ideal candidate should have prior experience with MRI image analysis, including familiarity with software packages like FSL, FreeSurfer, or SPM. Experience working with high-level languages like Python or Matlab are also preferred.

The candidate will be expected to split time approximately 50% between clinical research and experimental research. Clinical research activities will include development and maintenance of software analysis pipelines, implementation of new and existing techniques for image analysis, efficiency/throughput optimization, and improvements in precision and accuracy. Experimental research activities will focus more on structural and functional connectivity analysis, design of novel algorithms for precise morphological assessments, and design of techniques for analyzing novel MRI contrasts.

The BNAC provides a rich environment to foster academic and professional development, including a variety of experts with skill in fields including medicine, MRI physics, computer science, and machine learning. The BNAC also has research access to a 3T Toshiba human scanner and a 9.4T Bruker small animal scanner, and extensive computational resources including a Linux cluster and large-scale storage.

This position is full-time with a one year initial appointment, renewable annually based on performance.

Please email mgdwyer@buffalo.edu mailto:mgdwyer@buffalo.edu to apply, and include a CV and at least two references.