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Administrative & technical support
Position
Informations pratiques
LNC2
Laboratoire:

LNC2

Équipe
Human reinforcement learning
Responsable
Stefano Palminteri
Date de limite de candidature
23 juin 2019

Position available: research assistant

Duration: initial contract 6 months (extension: 6 months)

Starting date: September (not negotiable)

Laboratory: Human Reinforcement Learning team
(https://lnc2.dec.ens.fr/en/human-reinforcement-learning)

Supervisor: Stefano Palminteri
(https://sites.google.com/site/stefanopalminteri/home)

Prerequisite education:

Master or similar in fields related to cognitive science (computer science, psychology, economics, neuroscience)

Requested ability:

  • Very good programming proficiency

  • Capacity and willingness to work in group

  • Very good understanding of written and spoken english, good production in English

  • Solid interpersonal skills to develop and maintain effective and cooperative working relationships with a multi-diverse community.

Job description
This job involves conducting and/or supporting laboratory research, which may include routine or non-routine laboratory operations, data interpretation, development and performance of technical protocols and procedures, design of cognitive experiments, literature studies, preparation of scientific papers. The RA will be mainly focused on the development and analysis of online cognitive experiments (languages likely to be used:  Matlab, R, Python, Java, HTLM).

It also involves coordinating people involved in lab research (post-doc, graduate students and undergraduate research assistants), organizing lab meetings and invited speakers’ visits, and helping with other administrative or social needs of the lab.

Research and administrative duties will include but is not limited to organizing lab meetings and other occasional lab social events. Provide assistance with training undergraduate research assistants on laboratory tasks and techniques such as (but is not limited to) online experiments and data analyses.  Collaboratively write and/or edit IRB protocols, grants, and other scientific reports as needed. May contribute towards articles for publication in scientific journals or for presentations at conferences or symposiums. Consults with academic supervisors or professional researchers on the nature and objectives of the research project or instructional design goals.

Application
Detailed CV (with grades), Letter of motivation (why this job? What after this job?), Name and email of two referees

Timeline
Deadline for application  (to be sent to stefano dot palminter at gmail dot com) submission: 23/06/19

https://docs.google.com/document/d/1k18-w16ka_zf01KRmXsA10EkpyKTrS7d4FhHH91L1kg/edit?fbclid=IwAR20d9dfG3WY_iQoUsNZD65qU121B7T8jEUXcmZ4x_UCKLBQJMXWaLaIfpU

Personnel administratif et technique
Poste
Informations pratiques
LNC2
Laboratoire:

LNC2

Équipe
Human reinforcement learning
Responsable
Stefano Palminteri
Date de limite de candidature
23 juin 2019

Position available: research assistant

Duration: initial contract 6 months (extension: 6 months)

Starting date: September (not negotiable)

Laboratory: Human Reinforcement Learning team
(https://lnc2.dec.ens.fr/en/human-reinforcement-learning)

Supervisor: Stefano Palminteri
(https://sites.google.com/site/stefanopalminteri/home)

Prerequisite education:

Master or similar in fields related to cognitive science (computer science, psychology, economics, neuroscience)

Requested ability:

  • Very good programming proficiency

  • Capacity and willingness to work in group

  • Very good understanding of written and spoken english, good production in English

  • Solid interpersonal skills to develop and maintain effective and cooperative working relationships with a multi-diverse community.

Job description
This job involves conducting and/or supporting laboratory research, which may include routine or non-routine laboratory operations, data interpretation, development and performance of technical protocols and procedures, design of cognitive experiments, literature studies, preparation of scientific papers. The RA will be mainly focused on the development and analysis of online cognitive experiments (languages likely to be used:  Matlab, R, Python, Java, HTLM).

It also involves coordinating people involved in lab research (post-doc, graduate students and undergraduate research assistants), organizing lab meetings and invited speakers’ visits, and helping with other administrative or social needs of the lab.

Research and administrative duties will include but is not limited to organizing lab meetings and other occasional lab social events. Provide assistance with training undergraduate research assistants on laboratory tasks and techniques such as (but is not limited to) online experiments and data analyses.  Collaboratively write and/or edit IRB protocols, grants, and other scientific reports as needed. May contribute towards articles for publication in scientific journals or for presentations at conferences or symposiums. Consults with academic supervisors or professional researchers on the nature and objectives of the research project or instructional design goals.

Application
Detailed CV (with grades), Letter of motivation (why this job? What after this job?), Name and email of two referees

Timeline
Deadline for application  (to be sent to stefano dot palminter at gmail dot com) submission: 23/06/19

https://docs.google.com/document/d/1k18-w16ka_zf01KRmXsA10EkpyKTrS7d4FhHH91L1kg/edit?fbclid=IwAR20d9dfG3WY_iQoUsNZD65qU121B7T8jEUXcmZ4x_UCKLBQJMXWaLaIfpU

Article dans une revue internationale  

Lefebvre, G., Nioche, A., Bourgeois-Gironde, S. & Palminteri, S. (2018). Contrasting temporal difference and opportunity cost reinforcement learning in an empirical money-emergence paradigm. PNAS, 115(49), E11446-E11454. doi:10.1073/pnas.1813197115

Article dans une revue internationale  

Palminteri, S. & Chevallier, C. (2018). Can We Infer Inter-Individual Differences in Risk-Taking From Behavioral Tasks? Frontiers in psychology, 9, 2307. doi:10.3389/fpsyg.2018.02307

Article dans une revue internationale  

Hertz, U., Palminteri, S., Brunetti, S., Olesen, C., Frith, C. & Bahrami, B. (2017). Neural computations underpinning the strategic management of influence in advice giving. Nature communications, 8(1), 2191. doi:10.1038/s41467-017-02314-5

Article dans une revue internationale  

Lefebvre, G., Lebreton, M., Meyniel, F., Bourgeois-Gironde, S. & Palminteri, S. (2017). Behavioural and neural characterization of optimistic reinforcement learning. Nature Human Behaviour , 1(4), 0067

Article dans une revue internationale  

Palminteri, S., Wyart, V. & Koechlin, E. (2017). The Importance of Falsification in Computational Cognitive Modeling. Trends in Cognitive Sciences, 21(6), 425-433. doi:10.1016/j.tics.2017.03.011

Article dans une revue internationale  

Palminteri, S., Lefebvre, G., Kilford, E. & Blakemore, S. (2017). Confirmation bias in human reinforcement learning: Evidence from counterfactual feedback processing. PLoS computational biology, 13(8), e1005684. doi:10.1371/journal.pcbi.1005684

Article dans une revue internationale  

Salvador, A., Worbe, Y., Delorme, C., Coricelli, G., Gaillard, R., Robbins, T., Hartmann, A. & Palminteri, S. (2017). Specific effect of a dopamine partial agonist on counterfactual learning: evidence from Gilles de la Tourette syndrome. Scientific reports, 7(1), 6292. doi:10.1038/s41598-017-06547-8

Article dans une revue internationale  

Palminteri, S. & Pessiglione, M. (2016). Opponent brain systems for reward and punishment learning: Causal evidence from drug and lesion studies in humans. Decision Neuroscience: An Integrative Perspective, 291-303. doi:10.1016/B978-0-12-805308-9.00023-3

Article dans une revue internationale  

Palminteri, S., Kilford, E., Coricelli, G. & Blakemore, S. (2016). The Computational Development of Reinforcement Learning during Adolescence. PLoS Computational Biology, 12(6). doi:10.1371/journal.pcbi.1004953

Article dans une revue internationale  

Palminteri, S., Serra, G., Buot, A., Schmidt, L., Welter, M. & Pessiglione, M. (2013). Hemispheric dissociation of reward processing in humans: insights from deep brain stimulation. Cortex; a journal devoted to the study of the nervous system and behavior, 49(10), 2834-44. doi:10.1016/j.cortex.2013.02.014

Article dans une revue internationale  

Palminteri, S. & Pessiglione, M. (2013). Reinforcement learning and Tourette syndrome. International review of neurobiology, 112, 131-53. doi:10.1016/B978-0-12-411546-0.00005-6

Autres  

Ting, C. , Palminteri, S., Engelmann, J. & Lebreton, M. (2019). Decreased confidence in loss-avoidance contexts is a primary meta-cognitive bias of human reinforcement learning. bioRxiv. doi:10.1101/593368

Autres  

Findling, C., Skvortsova , V., Dromnelle, R. , Palminteri, S. & Wyart, V. (2018). Computational noise in reward-guided learning drives behavioral variability in volatile environments. bioRxiv. doi:10.1101/439885

Autres  

Lebreton, M. & Palminteri, S. (2016). When are inter-individual brain-behavior correlations informative? bioRxiv. doi:10.1101/036772