The Computational Neuroscience and Psychiatry Lab (www.pinotsislab.com) at University of London—City is looking for a Post Doc with a strong background in computational neuroscience and EEG neurofeedback.

The Lab focuses on developing new algorithms for the analysis of human and animal brain imaging data. These are based on computational models of neural dynamics and state of the art machine learning techniques. Particular emphasis is put on applications in Computational Psychiatry and developing models of brain pathology. Also, the Lab develops brain theories that can explain brain pathology, using theoretical tools from deep neural networks and Bayesian brain theories. The lab also performs EEG recordings and plans to start experiments with EEG neurofeedback.

The Post Doc shall conduct research in one or more of these areas. He/she will have the opportunity to shape the details of their project based on their specific interests.

The successful candidate should have a PhD in computational neuroscience, computer science, engineering, physics or related discipline. Expertise in one or more modern scientific computing programming language (Python, Matlab or R) is essential. The candidate should also have familiarity with one or both of: i) the analysis of human and/or animal brain imaging data, and ii) EEG experiments, in particular EEG neurofeedback.

For informal inquiries, please email Dr. Dimitris Pinotsis at pinotsis@mit.edu