We are recruiting two postdoctoral candidates to join the FaceCategorizationLab in Nancy (France) at CNRS and Université de Lorraine. Successful candidates will be supervised by Bruno Rossion, in collaboration with Jacques Jonas.
https://face-categorization-lab.webnode.com/
The selected postdoctoral candidates will focus on research on the neural mechanisms of human recognition of faces, as investigated with frequency-tagged electrophysiological activity (EEG, intracranial EEG, microelectrode recordings for single neuron activity). Neuropsychological and electrophysiological measurements during intracerebral electrical stimulation of the human ventral occipito-temporal cortex can also be part of the research (see examples of relevant publications below).
The postdoctoral researchers will become a full member of the Systems and Cognitive Neuroscience group of the CNRS laboratory IMoPA UMR7365, Université de Lorraine (Nancy, East of France). The research group is a small unit tightly linked to clinical research at the university hospital of Nancy (CHRU), including researchers in neuroscience, cognitive science, neuropsychologists and neurologists. They will have access to state-of-the-art research facilities at Université de Lorraine, CNRS and CHRU-Nancy.
The candidates should have a PhD in neuroscience, cognitive science, biology, engineering, psychology or equivalent. Ideally, he/she should also have a good level in French and a solid background in cognitive neuroscience. Knowledge of electrophysiology/neuropsychology, programming skills (e.g., R, Matlab, Python) and a good level of English are a plus. High motivation, curiosity, creativity, perseverance and the ability to work in a team are also key personal skills.
The positions will be fully funded by the CNRS (ERC Adg HUMANFACE) and will be for 24 months with standard French salaries. Applications should be sent as a single PDF to bruno.rossion@univ-lorraine, including a CV, a letter of motivation and 2 names of references. Deadline for application: June 1st 2024 (candidates may be selected and hired earlier, don’t wait to apply if you are interested).
Relevant references
Rossion, B., Jacques, C., Jonas, J. (2018). Mapping face categorization in the human ventral occipito-temporal cortex with direct neural intracranial recordings. AnnalsoftheNewYorkAcademyofScience, 1426, 5-24.
Lochy, A., Jacques, C., Maillard, L., Colnat-Coulbois, S., Rossion, B., Jonas, J. (2018). Selective visual representation of letters and words in the left ventral occipito-temporal cortex with intracerebral recordings. ProcNatlAcadSciUSA. 115(32):E7595-E7604
Jonas, J., & Rossion, B. (2021). Intracerebral electrical stimulation to understand the neural basis of human face identity recognition. EuropeanJournalofNeuroscience, 54, 4197-4211.
Volfart, A., Yan, X., Maillard, L., Colnat-Coulbois, S., Hossu, G., Rossion, B., Jonas, J. (2022). Intracerebral electrical stimulation of the right anterior fusiform gyrus impairs human face identity recognition. Neuroimage, 10.1016/j.neuroimage.2022.118932
Rossion, B. & Lochy, A. (2022). Is human face recognition lateralized to the right hemisphere due to neural competition with left lateralized visual word recognition? A critical review. Brain Structure and Function, 227, 599-629
Volfart, A., Rossion, B., Yan, X., Angelini, L., Maillard, L., Colnat-Coulbois, S., & Jonas, J. (2023). Intracerebral electrical stimulation of the face-selective right lateral fusiform gyrus transiently impairs face identity recognition. Neuropsychologia, 190, 108705.
Quian Quiroga, R., Boscaglia, M., Jonas, J., Rey, H. G., Yan, X., Maillard, L., Colnat-Coulbois, S., Koessler, L., & Rossion, B. (2023). Single neuron responses underlying face recognition in the human midfusiform face-selective cortex. Nature communications, 14(1), 5661.
Rossion, B., Jacques, C., Jonas, J. (2024). The anterior fusiform gyrus: the ghost in the cortical face machine. NeuroscienceandBiobehavioralReviews, in press.
Research Field Neurosciences » Neurophysiology
Education Level PhD or equivalent
Number of offers available 2
Company/Institute Université de Lorraine
Country France
City Nancy
Postal Code 54000
E-mail bruno.rossion@univ-lorraine.fr
City NANCY cedex
Website https://www.univ-lorraine.fr
Street 34, Cours Léopold - CS 25233
Postal Code 54052
Université de Lorraine promotes innovation through the dialogue of knowledge, taking advantage of the variety and strength of its scientific fields...
Besuchen Sie die Arbeitgeberseite