A position for a postdoctoral associate in human fMRI is available in the CCN lab. The lab studies flexible decision making and learning in humans using behavioral paradigms and computational approaches.
We are seeking an extremely motivated postdoctoral researcher with a strong background in human fMRI. Studies will focus on flexible rule switching and generalization, and dynamic adaptation. The researcher will have the opportunity to gain experience in human behavioral experimental design and cognitive computational modeling. The project is part of a NIMH Silvio O. Conte Center on the “Cognitive Thalamus”, and the position will be co-mentored by Dr. Mike Arcaro at U Penn.
The successful candidate will be part of a diverse team of experimentalists, theoreticians and biostatisticians that studies thalamocortical interactions in different brain models (tree shrew, macaque, human neurotypical, schizophrenia patients) and levels of analyses (local- and large-scale circuits). This is a unique opportunity to learn about team science approaches.
Postdoctoral researchers are given the opportunity to participate in other lab research endeavors, and they are expected to make a strong contribution to the lab’s overall research efforts. Training also includes an introduction to various advanced neuroimaging and computational methodologies.
Essential qualifications for these positions include: a Ph.D. in Neuroscience, Computer Science, Bioengineering, Cognitive Science, Psychology or other closely related fields. Experience working with task-based fMRI is required. Experience in human decision making and computational modeling is not necessarily required. All candidates must possess strong quantitative skills (e.g. Matlab, C++, Python).
Applicants should apply via email to Anne Collins and should include application materials (cover letter, CV and short research statement, and contact information for references).
We currently have one open position available in our lab for the upcoming graduate admissions cycle in the psychology graduate program (Fall 2024). We will consider applicants with strong quantitative and coding skills, and demonstrated interest in our research topics. If you are interested in joining our lab, please check out our website and the graduate program website, and submit your application through the psychology program. For more information, please contact us at ccnlab@berkeley.edu, including your CV and a short cover letter.
We sometimes have positions for motivated undergraduate or graduate students who want to join the lab. If you are interested, here are some skills and methods we use, and that you may learn in the CCN lab:
Human experiments - behavioral experiments' design, coding (psychtoolbox and matlab; Amazon Mechanical Turk) - behavioral data analysis - EEG experiment design, running and data analysis - others (patients, genetic, drug studies, ...)
Computational modeling - reinforcement learning - model fitting techniques - Bayesian inference - biological neural network models - statistics, machine learning techniques
General skills - writing - oral presentations - data organization - cooperative work
Contact CCN Lab if you're interested.
CCN Lab