Post-Doctoral Research Visit F/M Distributed Machine Learning at the Network Edge
Inria
Inria is recruiting a postdoctoral researcher in distributed machine learning at the network edge, combining optimization, machine learning and communication systems.
The current cycle is confirmed, the official application route is active and a closing date is recorded.
Source review was due 24/08/2026. Confirm details on the official page.
Vacancy terms
- Career stage
- Postdoctoral researcher
- Employment type
- Not stated
- Contract
- Not stated
- Contract ends
- Not stated
- Original contract term
- Fixed-term contract for 1 year and 3 months
- 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
- Research distributed machine learning at the network edge.
- Develop and evaluate methods across learning, optimization and networking.
Qualifications and requirements
Qualifications
- PhD in applied mathematics, computer science or closely related discipline.
- Evidence of high-level research productivity.
- Strong mathematical background, machine-learning knowledge and programming skills.
Requirements
- Ability to conduct independent research in distributed machine learning.
- Ability to collaborate with PhD students and research partners.
Documents and steps
Documents
- Application materials requested by the official Inria vacancy
Steps
Review the network-edge machine-learning project.
Prepare the requested Inria application materials.
Submit through the official Inria vacancy by 11 October 2026.
Why this vacancy is published
This vacancy was checked against the university's official careers system.
No public evidence excerpt is available yet. Use the linked official source to confirm every material claim.
Published revision history
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Post-Doctoral Research Visit F/M Distributed Machine Learning at the Network Edge
Use the enduring programme page to check for a verified newer cycle. A closed vacancy never implies that another round is open.
Programme overview and cycle history