Postdoctoral Position On Functionals Of Decision Making And Navigation In Insects H/F

Universities and Institutes of France

France

December 14, 2021

Description

  • Organisation/Company: CNRS
  • Research Field: Biological sciences Computer science Mathematics
  • Researcher Profile: First Stage Researcher (R1)
  • Application Deadline: 14/12/2021 23:59 - Europe/Brussels
  • Location: France › PARIS 15
  • Type Of Contract: Temporary
  • Job Status: Full-time
  • Hours Per Week: 35
  • Offer Starting Date: 01/02/2022
  • The post-doctoral researcher will work on developing theoretical and data- driven computational models for navigation based on sparse learning of functionals of noisy or limited sensory signals.

    The objective of this project is to model and understand how small animals, such as insects, can navigate in complex varying environments, learn the statistical properties of their environment to adapt decision making, and can integrate large amounts of sensory inputs and encode internal states (for example stress) that influence probabilistic responses to external signals.

    We focus in the lab on decision making and evasive behavior in Drosophila larva and on navigation of insects and unicellular organisms.

    The work will be performed in the Decision and Bayesian Computation (DBC) lab at Institut Pasteur in Paris. The lab is focused on the algorithms and computation selected by evolution to perform biological decision-making. We address this topic with an interdisciplinary approach mixing statistical physics, Bayesian machine learning, and information theory. The lab works in close connection with experimental collaborators to design experiments and obtain experimental data on animal behavior, notably from Drosophila larvae and bacteria.

    Eligibility criteria

    Required skills: - PhD in mathematics, theoretical physics, or similar. - Knowledge of stochastic processes and statistical analysis. - Programming experience, ideally in Python, Julia or C/C++.

    Nice-to-have skills: - Random walk theory. - Experience in Reinforcement learning or bandit problems.

    Web site for additional job details

    https: // emploi.cnrs.fr/Offres/CDD/UMR3571-CHRVES-001/Default.aspx

    Required Research Experiences
  • RESEARCH FIELD
  • Biological sciences

  • YEARS OF RESEARCH EXPERIENCE
  • None

  • RESEARCH FIELD
  • Computer science

  • YEARS OF RESEARCH EXPERIENCE
  • None

  • RESEARCH FIELD
  • Mathematics

  • YEARS OF RESEARCH EXPERIENCE
  • None

    Offer Requirements
  • REQUIRED EDUCATION LEVEL
  • Biological sciences: PhD or equivalent

    Computer science: PhD or equivalent

    Mathematics: PhD or equivalent

  • REQUIRED LANGUAGES
  • FRENCH: Basic

    Contact Information
  • Organisation/Company: CNRS
  • Department: Gènes, synapses et cognition
  • Organisation Type: Public Research Institution
  • Website: https: // research.pasteur.fr/fr/team/decision-and-bayesian- computation/
  • Country: France
  • City: PARIS 15
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