A postdoctoral research position is available at Carnegie Mellon University for collaborative research on statistical analysis of neural data.
The research topics will be selected based, in part, on the skills and interests of the candidate. Work would be supervised by Rob Kass who is interested especially in developing new methods for analyzing data from multiple spike trains, LFP, fMRI, MEG, and diffusion imaging in order to investigate visual attention, visual perception including face and object recognition, olfactory coding, brain damage due to trauma, movement disorders, or psychiatric disorders.
Candidates should have strong programming skills. Some background in statistics and machine learning is desirable. The appointment would be in Carnegie Mellon’s Center for the Neural Basis of Cognition, and could include cross-appointment in the Department of Statistics and/or the Machine Learning Department.
Salary will be highly competitive. Appointment could begin as soon as the candidate is available. The duration can be flexible, but a commitment of at least 18 months is required.
To apply, or to get further information, please contact and send a CV to: