Postdoc, University of Illinois at Urbana-Champaign

  • Postdoc
  • Molecular Imaging of the Cortical Column

djmbrain Urbana, Illinois, USA


The Miller Laboratory uses an integrative strategy that combines measurements from multiple scales of organization to investigate the evolution and plasticity of the fundamental building block of the mammalian cerebral cortex, the cortical column. We use computational methods (Python-centric) to combine invasive (physiology, histology in mice) with noninvasive neuroimaging (7T, 9.4T MRI) datasets to understand brain organization and plasticity. We have openings for postdoctoral trainees interested in using advanced computational methods to integrate measurements of brain structure and function from the level of single-cell transcriptomics and deep-learning morphometrics through receptive field mapping to macroscale parcellation and tractography using ultra high field MRI to create holistic maps of the brain. We are interested in developing and validating the biomarkers of neurophysiological organization that are needed to understand the evolutionary history of the human brain, as well as to identify injured and diseased from healthy tissue.
We can be found in the Department of Evolution, Ecology, and Behavior within the School of Integrative Biology at the University of Illinois at Urbana-Champaign, USA. Already an internationally recognized leader with the Carl R. Woese Institute for Genomic Biology and the National Center for Supercomputing, with recent investments in ultra high field MRI technology at the Beckman Institute, UIUC joins only a handful of research centers across the world capable of developing the next generation of integrative brain mapping technologies – join us!


All trainees will be expected to work with a team to produce and summarize science capable of being published in peer-reviewed journals, as well as to submit grants in pursuit of their own funding.

Qualifications/Preferred Skillsets:

Any of the following: neuroimaging, microscopy, histology, genomics, physiology, statistics, machine learning

Featured Publications:

2018. Zhu Y, Sousa AMM, Gao T, Skarica M, Li M, Santpere G, Esteller-Cucala P, Juan D, Ferrandez L, Gulden FO, Yang M, Miller DJ, Marques-Bonet T, Kawasawa YI, Zhao H, Sestan N. Spatio-temporal transcriptomic divergence across human and macaque brain development. Science. 14;362(6420).
2012. Miller DJ, Duka T, Stimpson CD, Schapiro SJ, Baze WB, McArthur MJ, Fobbs AJ, Sousa AM, Sestan N, Wildman DE, Lipovich L, Kuzawa CW, Hof PR, Sherwood CC. Prolonged myelination in human neocortical evolution. Proceedings of the National Academy of Science U S A. 109(41):16480-5.

Salary: based on experience
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