We are seeking suitably qualified postdoctoral fellows interested in combining computational modelling with smartphone-based data collection in samples of tens of thousands of people. Projects will focus on decision making and behavioral change. Where appropriate we will encourage development of a neuroimaging component (fMRI/MEG) component to the research although this is not required. Previous publications using smartphone-based date collection in over 100,000 participants are available online (http://thegreatbrainexperiment.com/publications). Potential supervisors include: Ray Dolan, Quentin Huys, Tobias Hauser, and Robb Rutledge.
The laboratory is located on Russell Square in London at the Max Planck UCL Centre for Computational Psychiatry, and is affiliated with the Wellcome Centre for Human Neuroimaging. The lab provides access to an excellent research and training environment and has longstanding ties with the Gatsby Computational Neuroscience Unit and the UCL Division of Psychiatry.
Strong applicants will have:
– Ph.D. in neuroscience, psychology, or a quantitative field (e.g., computer science, engineering, physics).
– Expertise using computational approaches in the study of reinforcement learning and decision making or expertise with machine learning techniques.
– Demonstrated ability to complete projects, as evidenced by first-author publications.
– Excellent organizational, interpersonal, and communication skills.
– Strong mathematical and programming skills.
Those with a background in computational neuroscience may be especially suited for this position. Clinical experience is not required but an interest in contributing to research in psychiatry is desirable. The start date is flexible.
Please email Susan Fischer (firstname.lastname@example.org) to express your interest and include a CV and cover letter that describes research interests and career plans.