The Perception, Neuroimaging, and Modeling lab (PI: Dr. Doby Rahnev, rahnevlab.gatech.edu) is hiring a postdoctoral fellow. The exact topic of research is flexible and could include investigating the neural and/or computational bases of perceptual decision making, metacognition, attention, expectation or learning. A special focus of the lab is how these processes are supported by large distributed brain networks. The Rahnev lab uses a wide range of methods such as fMRI, TMS, psychophysics, computational modeling and concurrent TMS-fMRI. The position is initially for 2 years with a possibility for extension. Candidates will be given the opportunity to conduct studies building on current lab research or developing their own projects ideas. The positions are available immediately.

The Rahnev lab, at the Georgia Institute of Technology in Atlanta, has access to exceptional research facilities. The lab space is conveniently located just steps away from a 3T Prisma MRI scanner at the Center for Advanced Brain Imaging (CABI, cabiatl.com). The lab also houses its own TMS equipment and is pioneering the use of concurrent TMS-fMRI that allows TMS to be delivered inside the MRI scanner. Working in the Rahnev lab presents opportunities for collaborations across several Atlanta-based universities including Georgia Tech, Emory and Georgia State. Together, these universities have transformed Atlanta into a hub for psychological and neuroscience research with particular strengths in computational neuroscience, the study of special populations (disease, aging, children), ECoG, concurrent brain stimulation and brain recording, and animal research. Georgia Tech has an attractive campus in the heart of Atlanta, a large, vibrant, multicultural city that boasts impressive cultural, culinary, and entertainment opportunities.

The Rahnev lab aims to create a supportive, fun and productive environment. We are especially interested in maintaining our already diverse team and therefore seek applications from qualified individuals from all demographics and backgrounds.