Post-Doctoral Research Visit F/M Embedded Systems, Neural Networks and Privacy-preserving Embedded Edge AI Techniques
Inria
Inria is recruiting a postdoctoral researcher in privacy-preserving embedded edge AI, neural networks and secure low-power systems.
The application window for this cycle has ended. The programme page tracks the next cycle.
Source visited 21 Aug 2026 (UTC). A source visit does not establish every employment term or confirm that applications remain open.
- Reviewed evidence is not available for: deadline, employment terms, requirements, application link, compensation.
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
Responsibilities
- Implement and evaluate privacy-preserving edge-AI prototypes on low-power hardware.
- Collaborate with research and industry partners and publish research results.
Qualifications and requirements
Qualifications
- PhD-level postdoctoral qualification.
- Machine learning/MLOps and privacy-enhancing technology expertise.
- Embedded programming, Python, networking and scientific-English skills.
Requirements
- Ability to work in distributed teams.
- Ability to build, test and publish open-source embedded-AI research prototypes.
Documents and steps
Documents
- Application materials requested by the official Inria vacancy
Steps
Review the embedded-edge-AI technical requirements.
Prepare the application materials requested by Inria.
Submit online through the official Inria vacancy by 31 August 2026.
Sources behind this vacancy
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Post-Doctoral Research Visit F/M Embedded Systems, Neural Networks and Privacy-preserving Embedded Edge AI Techniques
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Programme overview and cycle history