Interdisciplinary post-doctoral position in cognitive neuroscience
We are particularly interested in attracting applicants from meteorology, macroeconomics, machine learning, statistics and other disciplines that involve a mastery of time series analysis, statistical learning, forecasting, and/or forecast verification. Applicants should have a obtained a PhD in a relevant discipline prior to the starting date, and should have strong skills in at least some of the following areas:
computer programming (MatLab, Python, C, C++),
computational, mathematical, and/or neural network modeling,
statistical learning / machine learning / mutivariate pattern classification,
time series analysis,
Resources available at NeuroSpin include Siemens 3T and 7T MRI scanners; high-density EEG (EGI Inc.); Elekta NeuroMag 306-channel MEG (allowing for the simultaneous recording of EEG); eye tracking (available for MRI, MEG, and behavioral experiments); an in-house team of experts in signal processing and statistical learning; a dedicated staff handling subject recruitment, scheduling, and payment; various Nespresso devices; and proximity to Paris.
The salary is competitive, being aligned with that offered by Marie Curie fellowships.
Applicants should send a CV, letter of motivation (max 2 pages), and a list of three references via e-mail to email@example.com. Review of applicants will begin immediately, and will continue until the position is filled.
The NeuroSpin Research Center is located on the campus of the CEA-Saclay, near Orsay, about 18 km southwest of Paris. For more information on the NeuroSpin Research Center and the Cognitive Neuroimaging Group:
This job comes from a partnership with Science Magazine and
Source: Interdisciplinary post-doctoral position in cognitive neuroscience
Via: Google Alert for Neuroscience