[Neuroimaging] Post-doc position at Stanford University (in collaboration with University of Washington)

[Ariel Rokem]

* Postdoc Position at Stanford University - Leveraging big data to
understand the neurobiological underpinnings of reading and math abilities*
The Yeatman (Stanford University) and Rokem (University of Washington) labs
have 2 years of funding for a jointly mentored postdoc who is interested in
capitalizing on new innovations in data science and diffusion MRI methods
to understand the neurobiological underpinnings of reading and math
abilities. With the emergence of public datasets containing tens of
thousands of subjects (e.g., ABCD, Healthy Brain Network, Human Connectome
Project, etc.) there are new opportunities to apply computational
approaches to understanding the multivariate relationship between white
matter development and academic skills. Beyond identifying correlations
between a single behavioral measure and diffusion properties in a single
white matter tract, we would like to progress towards a model
characterizing how the interrelated developmental trajectories of the
brain’s many white matter connections relate to different components of
academic development (e.g., reading, math, executive function). This
project would involve working with large, publicly available datasets, and
developing/applying new statistical approaches to relate measures of brain
anatomy to cognitive skills.

Related work: Yeatman J.D., Richie-Halford A., Smith J.K., Keshavan A.,
Rokem A. (2018). A browser-based tool for visualization and analysis of
diffusion MRI data. Nature Communications. 9(1):940. Link
<https://www.nature.com/articles/s41467-018-03297-7>

Starting salary range: $65,000- $75,000/yr depending on experience.

Applicants should have a PhD in neuroscience, psychology, or related
fields, or a PhD in computer science, statistics, physics or engineering
fields, and an interest in rapidly learning about measurements of the
living human brain. Either way, the ideal candidate should possess strong
computational skills, proficiency programming in Python and familiarity
with MATLAB. Experience with diffusion MRI data analysis or other related
neuroimaging is a plus but not required. Must enjoy working in a fast-paced
collaborative and open environment and have strong writing and
communication skills.

Start date: Any time

To apply, please send:

1) A curriculum vitae
2) Contact information for three references
3) A two-paragraph letter (less than 1 page) describing:
     (1) a finding from your PhD (or previous postdoc) research that you
are excited about and
     (2) a project you would like to tackle in the lab.

Jason Yeatman (jyeatman at stanford.edu)
Ariel Rokem (arokem at gmail.com)
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/neuroimaging/attachments/20190911/efebbb04/attachment.html>