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Postdoctoral researcher

Post-Doctoral Research Visit F/M Continual Audiovisual Perception for Human-Robot Interaction

Inria

Inria is recruiting a postdoctoral researcher in continual audiovisual perception for socially situated human-robot interaction.

Inria Centre de l’Université Grenoble Alpes, MontbonnotEUR 2,788 gross per month.

The application window for this cycle has ended. The programme page tracks the next cycle.

Evidence incomplete

Source visited 21 Aug 2026 (UTC). A source visit does not establish every employment term or confirm that applications remain open.

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Employment

Vacancy terms

Career stage
Postdoctoral researcher
Employment type
Not stated
Contract
Not stated
Contract ends
Not stated
Original contract term
Fixed-term contract for two years
Schedule
Not stated
Workplace
Not stated
FTE
Not stated
Salary
EUR 2,788 gross per month.
Department or school
Not stated
Posted
Not stated
Role

Responsibilities

  • Develop continual audiovisual-perception algorithms for human-robot interaction.
  • Collaborate on simulation, clinical evaluation, publications and open-source releases.
Candidate profile

Qualifications and requirements

Qualifications

  • PhD completed or nearly completed in computer science, machine learning, signal processing or related field.
  • Strong computer-vision or audiovisual machine-learning background.
  • Python/deep-learning skills and good written and spoken English.

Requirements

  • Ability to work in a multidisciplinary multi-site consortium.
  • Continual-learning, self-supervised learning or HRI experience is advantageous.
Application

Documents and steps

Documents

  1. Application materials requested by the official Inria vacancy

Steps

  1. Review the human-robot audiovisual perception project.

  2. Prepare the application through the Inria portal.

  3. Submit online through the official Inria vacancy by 30 August 2026.

Official evidence

Sources behind this vacancy

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Programme continuity

Post-Doctoral Research Visit F/M Continual Audiovisual Perception for Human-Robot Interaction

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Programme overview and cycle history