[Neuroimaging] Postdoctoral position available in the Poldrack Lab

[Chris Gorgolewski]

Apologies for cross-posting.


The Poldracklab at Stanford is looking to hire a postdoc with expertise in
fMRI data analysis, starting as soon as possible. Our lab is a dynamic and
collaborative group that includes basic cognitive neuroscience researchers
focused on the study of decision making and executive function alongside
methodological researchers focused on reproducible data analysis and data
sharing.  Stanford University is located in sunny northern California, deep
in the heart of Silicon Valley and a short train ride to San Francisco.

The postdoc will be able to contribute to a number of ongoing research
projects in our lab and collaborating labs by analyzing fMRI data from
those studies. In addition, the postdoc will have the opportunity to
develop their own research program with the domain of scientific or
methodological problems currently being investigated within the lab (
https://poldracklab.stanford.edu/projects).

The successful candidate should:

   -

   Have a PhD in a relevant field of study and demonstrated experience with
   the processing and statistical analysis of fMRI data.
   -

   Have strong and demonstrated computer programming skills, including
   Python.  Experience with Nipype is strongly preferred.  Candidates will be
   asked to submit a link to their open source code repository for review.
   -

   Have strong skills in statistics and machine learning.
   -

   Have solid experience with computational data analysis, including strong
   UNIX/Linux skills and experience using high performance computing clusters.
   Experience with cloud computing platforms is also preferred.
   -

   Be dedicated to open source software development and data sharing.

The Poldracklab is strongly committed to diversity in science, and we
particularly welcome applications from members of traditionally
underrepresented groups.

Eligible candidates will be asked to complete a data analysis problem using
a specified dataset and present a report of their results as well as
sharing their analysis code, in order to demonstrate their expertise with
data analysis.

Interested candidates should email the following to russpold at stanford.edu:

   -

   A cover letter describing your background and research interests
   -

   CV (including a link to code repository, e.g. Github, Bitbucket)
   -

   Names and email addresses of two references
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