• Post-doctoral position in the cognitive neuroscience of volition
    Funded by the ERC starting grant Brain-behavior forecasting: Neural antecedents of self-initiated movement and the forecasting of behavior based on brain activity
    Starting date: Spring 2019
    Duration: 18 months
    The Schurger group focuses on understanding how decisions are made and actions initiated spontaneously, without an external sensory cue, and how time series of neural activity can be used to forecast behavior. We pursue this research using a combination of behavioral experiments, neuroimaging, computational modeling, time-series analyses, and machine learning.Requirements: we are especially interested in applicants with significant experience in one or more of the following areas:
    -machine learning / pattern classification
    -modeling of time series / predicting discrete events in time series
    -Bayesian statistics
    -Kalman filters
    -dynamical systems theory
    -magnetoencephalography (MEG)
    Candidates with experience in other neural recording modalities (such as fMRI or ECoG) may also be considered. An interest in volition, action initiation, and/or the purposeful generation of unpredictable behavior is essential.Applicants should have a obtained a PhD in a relevant discipline prior to the starting date, and at a minimum should have strong skills in the following three areas:
    computer programming (MatLab or Python),
    statistics,
    signal processing

    All qualified candidates with a background in engineering, computer science, physics, or applied math are encouraged to apply. We are an equal opportunity employer, therefore women are especially encouraged to apply.

    Applicants should send a CV, letter of motivation (max 2 pages), and a list of three references via e-mail to schurgerlab@gmail.com. Review of applicants will begin immediately, and will continue until the position is filled.

  • We are recruiting, Postdoc (or Engineer) position available for an exciting project in education research.Project aim: During the 2018 – 2019 school year, we are testing a game application for early math and reading instruction in Kindergarten. The application is being tested with ~1000 children in France. The goal of the project is to analyze the children’s game progress, and create a visual display to communicate the child’s learning progress.
    Work environment: The position will take place in Saclay at the “Cognitive Neuro‐Imaging Unit, NeuroSpin” (http://www.unicog.org/site_2016/) . We are a research lab specializing in imaging and cognitive neuroscience. You will be working in a vibrant community of researchers and invited to participate in lab meetings.
    Requirements: We are looking for post-docs or engineers with experience in datamining and creating visual displays of data. Data is collected on JSON files. The position will require knowledge in Python.
    Project start: early 2019. Duration: 18 months.

    For more information about the research project currently underway in the classrooms, visit our website, https://ludoeducation.wordpress.com.

    To apply, send cover letter, CV and 2 letters of recommendation by e-mail to, cassandra.potier-watkins@cea.fr.

 

  • 5 postdoctoral positions are available at the Cognitive Neuro-Imaging Unit (www.unicog.org) located at NeuroSpin, France’s advanced brain imaging center.You will be part of a team of young researchers who develop innovative paradigms for behavioral and brain-imaging analysis. The following positions are currently available.
  1. Analysis of human intracranial signals during the processing of written words and sentences (18 months, in collaboration with Dr Nitin Tandon, Houston)
  2. Educational intervention. Design of board games for math and reading in first grade, and experimentation using randomized school interventions and fMRI before/after intervention (1 year minimum, in collaboration with Prof E. Spelke, Harvard).
  3. Functional MRI studies of language learning in 1st Behavioral and fMRI studies on the influence of reading on oral language processing
  4. Symbol acquisition and statistic learning in infants. fMRI studies in infants to compare associative vs symbolic learning in language acquisition (3 years, ERC grant)
  5. Development of methodological tools to study infants’ cognition in MRI and/or EEG to obtain realistic models of the structural and functional maturation of the human brain during the first semester of life (3 years, ERC grant).We are looking for highly motivated and autonomous young minds with a passion for research. The position requires a strong background in neuroscience, cognitive science, mathematics, physics, or computer science; a strong competence in written and spoken English; and excellent programming skills (primarily Matlab or Python). Linguistic skills would be strong bonus. The whole lab operates solely in English, but speaking French could be useful for some aspects of stimulus design or experimentation.

    Contact:
    Stanislas.Dehaene@cea.fr (positions 1 and 2) or ghislaine.dehaene@cea.fr  (positions 3 to 5)