The Stanford Aging and Memory Study: Postdoctoral Fellow Position

The Stanford Aging and Memory Study (SAMS) is a large multimodal imaging-biofluid study of human aging. Two hundred older clinically normal older individuals have already completed a baseline study that involved high-resolution imaging (3T fMRI and 7T) and biofluid assessments (CSF, plasma). We are launching a longitudinal arm to this study in Spring 2022, which will include repetition of previously collected measures, addition of tau PET, and opportunities for inclusion of novel task-based assessments. We seek to understand the functional, structural, and molecular changes that influence age-related memory decline and progression to clinical impairment, as well as non-clinical age-related neural changes that impact memory.

Postdoctoral Fellow –– fMRI Lead: One key aim in SAMS is to understand how multivariate functional metrics of pattern separation, pattern completion, and cortical reinstatement relate to differences in memory and longitudinal change as a function of early AD pathology. The fMRI Lead will have the opportunity to leverage baseline and longitudinal fMRI data to (a) evaluate age-related changes in these, and associated frontoparietal, neural mechanisms, and (b) relate these changes to memory performance and markers of amyloid and tau burden (CSF, plasma, and PET). The fMRI Lead will also oversee fMRI data collection and lead fMRI analyses.

The postdoctoral fellow will be jointly mentored by Drs. Anthony Wagner (Dept of Psychology) and Beth Mormino (Dept of Neurology).

Required Skills:
• Experience with multivariate fMRI analysis and background in the cognitive neuroscience of memory

• Linux, R, python

• Background in aging/Alzheimer's disease or keen interest in transitioning to cognitive aging research a plus


Please send a cover letter summarizing your research background and interests, CV, and contact info for two (2) referees to Drs. Wagner (awagner - at - stanford.edu) and Mormino (bmormino - at - stanford.edu).

SAMS fMRI Predictors of Memory in Older Adults