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 data science and/or computational neuroscience.

 

 

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 techniques from Data Science. 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.

 

 

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 data science or 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 large datasets from human behavioural data, and/or ii) the analysis of human or animal brain imaging data.

 

 

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

 

 

Department of Psychology                     

University of London — City                    

The Picower Institute for Learning and Memory

Department of Brain and Cognitive Sciences

Massachusetts Institute of Technology (MIT)

[e] pinotsis@mit.edu

[e] pinotsis@city.ac.uk