We are hiring at all levels! Check out the details below and get in touch.

Our lab 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.

Research assistants

We are looking for motivated research assistants to join the lab. There are many opportunities for people who want to gain experience with research. In particular, research assistants can lead projects and even become first authors on the resulting publications. However, a requirement for such involvement is the ability to program in MATLAB, Python, or Java. If you want to lead your own project, you’ll receive plenty of help and guidance but you need to do most of the programming work yourself. If you can’t program, then more traditional positions in which you work under a postdoc or a graduate student are also available. Most projects involve working on behavioral studies but a few include working with fMRI and TMS.

If you are interested in joining the lab, email Dr. Rahnev at rahnev@psych.gatech.edu.

Please, include a CV or a resume, as well as a short statement about your interests.

Please click here to learn more. 

Tagged as: AI, BCI, Computational Neuroscience, EEG, fMRI, Machine Learning, Neuroscience