Our Center invites applications for several postdoctoral fellowships open to qualified candidates interested in transforming MRI into a precise, pathology-specific scientific instrument. Postdoctoral fellows will work closely with principal investigators Els Fieremans, PhD, and Dmitry Novikov, PhD to contribute to rethinking the whole MRI pipeline: from image reconstruction and artifact correction, to biophysical modeling of brain microstructure and model validation, to clinical translation of novel, early-stage pathology biomarkers. Fellowships are open in the following long-term, NIH-funded projects:

• Noise removal during image reconstruction.The postdoctoral fellow will work with the team to use random matrix theory to separate noise from the signal in multi-modal raw MR data (diffusion and fMRI), develop a reconstruction pipeline, and translate the method for presurgical planning. This fellowship requires skills in one of the following:
  • MR reconstruction (ICE programming a plus)
  • fMRI or diffusion processing
  • artifact correction
  • fiber tracking
• Distinguishing among demyelination, axonal loss, and inflammationThe fellow will work with the team to use biophysical modeling to develop clinically feasible MRI acquisitions and validate early sensitive markers for neurodegenerative diseases. This fellowship requires skills in one of the following:
  • Monte Carlo simulations of diffusion
  • q-space trajectories
  • diffusion theory or parameter estimation
  • machine learning
• Clinical translation of cellular-level markers of pathologyThe fellow will work with the team to translate the quantitative MRI pipeline into clinical studies of neurodegeneration (multiple sclerosis, Alzheimer’s disease, traumatic brain injury, migraine, and other pathologies). This fellowship requires skills in one of the following:
  • experience with big datasets
  • background in neurological disorders

The fellows will be part of a broader microstructure ecosystem at NYU Grossman School of Medicine, with collaborative opportunities for animal validation (with Gene Kim, PhD, and Jiangyang Zhang, PhD), sequence development (with Steven Baete, PhD), image analysis (with Jelle Veraart, PhD), and clinical translation (with Timothy Shepherd, MD, PhD, and Yvonne Lui, MD).