Connectionists: neuroimaging analysis internship at Siemens Healthcare

[Francisco Pereira]

Our team at Medical Imaging Technologies, Siemens Healthcare, in Princeton
NJ, has a summer intern position, working in a project investigating the
representation of semantic information in the brain and how it is used in
language. Our goal is to build a computational model of the process of
sentence comprehension in a text passage, using text corpora and other
linguistic resources, and validate it using behavioral and brain imaging
data (primarily, functional MRI).

The main role of the intern will be to help in building forward models of
language processing (from stimuli to mental representations to imaging
data). Examples of tasks you might be asked to do:

- run various types of multivariate pattern analyses (e.g. classification,
regression, representational similarity), as well as GLMs
- implement and benchmark new methods for decoding complex information
(e.g. distributed semantic representations) from fMRI data
- process fMRI data and help extend our existing processing pipeline (e.g.
to do hyper-alignment of subjects)

It is an unusual position in that you would be doing all of these tasks in
close cooperation with other team members who are developing the language
models and decoding approaches, and with colleagues who are designing and
running complex multi-session imaging experiments. This would provide you
with an opportunity to learn about all of these aspects of the work. We
will also be delivering a system to the funding agency, so this is a
fast-paced project with multiple opportunities for publication. This work
is being carried out in collaboration with researchers at MIT, MGH and
Princeton University and funded by the IARPA Knowledge Representation in
Neural Systems program (
http://www.iarpa.gov/index.php/research-programs/krns ).

Requirements:

- current student in a graduate program in Psychology/Cognitive
Neuroscience/Computer Science/Machine Learning
- experience developing software in MATLAB or Python
- experience in processing fMRI data and running GLMs (with any of FSL,
AFNI, SPM, FreeSurfer, etc)
- experience with PyMVPA and/or scikit-learn is highly desirable, though
not strictly necessary
- availability for at least 3 months (a longer period is possible, and the
timeline is flexible)

If interested, please send your resume to francisco-pereira at siemens.com (your
email can serve as a cover letter, if there is anything you would like to
elaborate on).
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