[Comp-neuro] postdoc in social learning in Collective Decision-making

Applications are invited for a Postdoctoral Research Assistant at the Institute
of Cognitive Neuroscience, University College London. The postdoc will be
jointly supervised by Peter Latham (Gatsby Unit) and Bahador Bahrami (Institute
of Cognitive Neuroscience). The goal of the project is to develop and test
computational models of social learning and collective decision-making. This
will build on our previous work in collective decision-making (Bahrami et al:
Science 329:1081-1085, 2010; J Exp Psychol Hum Percept Perform 38:3–8, 2012;
Phil Trans R Soc B 367:1350-1365, 2012), and will form the basis of model-based
fMRI analysis.

Salary: £32,699 - £39,523 per year

Duties and Responsibilities:
The successful candidate will carry out research in the area of social
collective decision-making and emergent crowd behaviour, with specific focus on
computational and social/cognitive neuroscience. S/he will develop and test
computational models of social learning and collective decision-making,
implement and run behavioural experiments, perform analysis of data, and
prepare reports of the research for publication in peer reviewed international
scientific journals.

The work will require a strong computational background, and the
successful candidate should have a reasonable subset of the following:
- PhD (or close to a PhD) in computer science, computational
neuroscience, or cognitive neuroscience.
- Knowledge of computational neuroscience, behavioural economics, or
big-data analysis.
- Experience in statistics or machine learning.
- Experience in the analysis of behavioural and functional imaging data.
- Programming skills in MATLAB or similar languages.
- Effective written and verbal communication skills.
- Experience working in a research environment.
- Ability and/or experience in programming web-based and smartphone
applications.


If interested, send a CV and a very brief cover letter to

Bahador Bahrami <bbahrami@gmail.com>