Job Listings
Postdoctoral Position - Cohen LabA postdoctoral position is available in the Neuroscience of Cognitive Control Laboratory, led by Dr. Jonathan Cohen, Co-Director of the Princeton Neuroscience Institute at Princeton University.
The research project will combine fMRI and EEG, together with mathematical and neural network modeling, to study the brain mechanisms of perceptual decision making, reinforcement, attention, and performance monitoring and optimization.
REQUIREMENTS: Ph.D. in psychology, neuroscience, or closely related field; strong background with fMRI or EEG, and preferably both. Candidates must pass a standard MR safety screening in order to work in the MR environment.
To apply, please visit the website https://jobs.princeton.edu (requisition #0900498), create an online application. Applications should include a cover letter, a CV, and letters of reference.
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 .
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@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, 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 , see http://www.princeton.edu/dof/policies/forms/newappoint_reclassif/PSoftSelfID.pdf .