Learning and decision-making in humans
My group is seeking a candidate for a 2-year postdoctoral position. The successful applicant will work in the Human Reinforcement learning team at Département d’Etudes Cognitives (DEC) of the Ecole Normale Supérieure in Paris, under the supervision of Stefano Palminteri.
The Human reinforcement learning team (created in 2017) investigates reward-maximization and punishment-minimization behaviors with an interdisciplinary approach. We are interested in understanding the computational and the neural bases of these behaviors and how impairments in these processes could contribute to the emerge nce of psychiatric symptoms or macroscopic social phenomena.
In the past years, two computational principles have been put forward by the team:
1) values are learned in a relative scale (Palminteri et al. 2015);
2) information valence biases value learning (Lefebvre et al. 2017).
The goal of the post-doctoral fellow will be to extend these frameworks in one of these two possible (not mutually exclusive) directions: social learning and behavioral economics.
Applications should include
- a detailed curriculum vitae
- a one-page statement describing how the candidate fits the requirements and the team
- a two-pages research project within the lines of research provided above
- the names and mails of 2 referees (typically, PhD and first post-doc supervisors)
- a published article representative of previous research
We preferentially seek candidates with publication-proven experience in statistics, computational modeling, the design of cognitive tasks and functional magnetic resonance imaging analyses. These requirements will be moderated as a function of the interest and originality of the research project. The position is available from January the 1st 2019 (slightly negotiable) and has to be filled within 2018. We preferentially seek ‘senior’ candidates (e.g., second post-doc), but this requirement will be moderated for applicants with an exceptional track record and recommendations.
Applications should be sent electronically to Stefano Palminteri (email@example.com) before September the 30. Pre-selected candidate will be invited in Paris for audition.
- Lefebvre G, Lebreton M, Meyniel F, Bourgeois-Gironde S, Palminteri S. Behavioural and neural characterization of optimistic reinforcement learning. Nature Human Behaviour (2017)
- Palminteri S, Khamassi M, Joffily M, Coricelli G. Contextual modulation of value signals in reward and punishment learning. Nature Communications (2015)