[deadline has now passed] Tenure-track* researcher position [pdf]
Applications are invited for a tenure-track researcher position in the Cognition and Brain Dynamics research team of Virginie van Wassenhove. The lab is hosted at NeuroSpin (Dir. Prof Stanislas Dehaene) on the plateau de Saclay near Paris, France. Salary will be commensurate with experience and the position comes with benefits package. Application closing date is set to end of April 2018. Pre-selected candidates will be interviewed in May. Earliest start date is planned for September 2018.
Internship (master): Tracking decision processes in temporal metacognition (with Tadeusz Kononowicz)
Internship (master): Assessing the relationship between implicit and explicit timing in the human brain (with Sophie Herbst)
The perception of time in humans can be implicit or explicit. By implicit timing, we refer to the capacity humans, and animals alike, have to anticipate the temporal regularities in the world without paying much attention to it. For instance, the timing of color changes in traffic lights, or the typical duration of the closing of the doors in the metro/rer. By contrast, we refer to explicit timing, the ability we have to explicitly and intelligibly report when 15 seconds have passed, the time it took you to read the text, or the observation that you can pay attention to a property of events in the world that we refer loosely refer to as “time”. There is currently no consensus on how the human brain maps the time dimension in our minds, and this project is part of this general question.
During this internship, you will take part in ongoing team efforts to investigate to which extent implicit temporal information can be predictive of explicit time intervals. The intern will help developing human experimental protocols, acquire and analyze magnetoencephalography (MEG) brain data in collaboration with a postdoctoral fellow who is an expert in time perception research. The project includes sophisticated analyses (time-frequency, cross-frequency coupling) and decoding of MEG recordings to understand the role of neural oscillations in time perception.
The candidate will have a good mastery of the English language, a good understanding or willingness to learn signal processing, and programming skills in python or matlab.