Connectionists: Postdoc and Research Assistant: Memory Modeling and Multivariate fMRI/EEG Data Analysis

[Kenneth Norman]

dear connectionist colleagues,
i have openings for a postdoc and a research assistant in my lab at  
princeton -- the advertisements are appended below. if you know of  
anyone in your lab (or elsewhere) who might be suitable for either  
position, i would be grateful if you could forward the advertisement  
along to them.
best wishes
ken

============== postdoc ad =================

Postdoctoral Research Associate, Computational Memory Lab, Princeton  
Neuroscience Institute and Department of Psychology, Princeton  
University.

The Princeton Computational Memory Lab, led by Professor Ken Norman,  
is seeking a postdoctoral research associate to work on NIH-funded  
studies of cortical and hippocampal learning mechanisms. The lab uses  
both computational models and neuroimaging data (fMRI and EEG) to  
study learning and memory. To test our models’ detailed predictions,  
we use multivariate neuroimaging analysis methods that allow us to  
decode what information is represented in the brain and how these  
representations change over time. The goal of this specific project is  
to explore how competition between neural representations (e.g.,  
during memory retrieval) affects learning.  The postdoctoral  
researcher will help to build computational models of competition- 
dependent learning processes. They will also develop and run  
experiments that use highly sensitive pattern classifier algorithms,  
applied to fMRI and EEG data, to track the extent to which memories  
compete on a trial-by-trial basis. This neural readout of the  
competing memories can be used to test the model’s predictions about  
how competition drives learning. In addition to this competition- 
dependent learning project, the postdoctoral researcher will be given  
the opportunity to participate in other lab research endeavors, and  
they will be expected to make a strong contribution to the lab’s  
efforts to improve and validate neuroimaging analysis methods. For  
more information on our lab, see http://compmem.princeton.edu.

Essential qualifications for this position include: a Ph.D. in  
Psychology, Neuroscience, Cognitive Science, Computer Science,  
Engineering, or other related field; a strong publication record of  
original research in cognitive neuroscience; prior experience with  
using fMRI or EEG to study cognitive processes; and fluency in at  
least one programming language (e.g., Matlab,  Python, C/C++).  The  
position will provide training in computational methods, but we prefer  
applicants who already have some experience with computational  
modeling/or and multivariate methods for neuroimaging data analysis.

The Norman lab is part of a highly collaborative network of labs at  
Princeton that are using computational methods to enrich neuroscience  
theory and data analysis, ranging from the Botvinick, Brody, Cohen,  
Hasson, and Niv labs in the Princeton Neuroscience Institute, to the  
Blei, Daubechies, and Ramadge research groups in Computer Science,  
Math, and Engineering. Questions can be addressed to Professor Ken  
Norman, knorman at princeton.edu.

Review of applications will continue until the position is filled.

To apply, please visit the website https://jobs.princeton.edu  
(requisition #0900383), create an online application. Applications  
should include a cover letter, a CV, one or two representative  
publications and a list of at least two potential referees.

Princeton University is an equal opportunity employer and complies  
with applicable EEO and affirmative action regulations.  For general  
application information and how to self-identify, see http://www.princeton.edu/dof/policies/forms/newappoint_reclassif/PSoftSelfID.pdf 
.

=============  research assistant ad =================

Research Specialist, Computational Memory Lab, Princeton Neuroscience  
Institute and Department of Psychology, Princeton University.


The Princeton Computational Memory Lab, led by Professor Ken Norman,  
is seeking a full-time research specialist to work on NIH-funded  
studies of cortical and hippocampal learning mechanisms. The lab uses  
both computational models and neuroimaging data (fMRI and EEG) to  
study learning and memory. To test our models’ detailed predictions,  
we use multivariate neuroimaging analysis methods that allow us to  
decode what information is represented in the brain and how these  
representations change over time (see http://compmem.princeton.edu for  
more information on our lab’s research). The successful candidate will  
assist with all aspects of our lab’s research, including developing  
materials, programming experiments, recruiting participants,  
collecting and analyzing fMRI and EEG data, and miscellaneous research  
support (literature searches, manuscript and grant preparation,  
general lab duties). A major part of the research specialist’s duties  
will be assisting with the development, testing, and dissemination  
(via open-source software) of new methods for analyzing neuroimaging  
data. Essential qualifications for this position include: A bachelor’s  
degree in Psychology, Cognitive Science, Neuroscience,  Computer  
Science, Engineering, Math, or other related field; demonstrated  
interest or research experience in cognitive neuroscience; fluency in  
at least one programming language (e.g., Matlab,  Python, C/C++); and  
an organized, independent, and efficient work ethic. Preferred (but  
not essential) qualifications include prior experience with  
neuroimaging data analysis (fMRI and/or EEG) and a working knowledge  
of modern machine learning methods (e.g., pattern classification  
algorithms). This position is ideal for candidates who are planning to  
attend graduate school and want additional research experience.  
Questions about the position can be addressed to Professor Ken Norman, knorman at princeton.edu 
.

Review of applications will continue until the position is filled.

To apply, please visit the website https://jobs.princeton.edu  
(requisition #0900381), create an online application. Applications  
should include a cover letter, a CV, and a list of at least two  
potential referees.

Princeton University is an equal opportunity employer and complies  
with applicable EEO and affirmative action regulations.  For general  
application information and how to self-identify, see http://www.princeton.edu/dof/policies/forms/newappoint_reclassif/PSoftSelfID.pdf 
.

=====================================================

Ken Norman
Associate Professor
Department of Psychology and Princeton Neuroscience Institute
Princeton University
http://compmem.princeton.edu

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