Post-Doctoral Research Visit F/M Distributed Learning for Streaming Data
Inria
Inria is recruiting a postdoctoral researcher in distributed learning for streaming data, communication-efficient edge inference and privacy-aware federated learning.
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 4 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
- Develop communication-efficient and private distributed-learning algorithms for streaming data.
- Integrate results into the PRIDeL collaboration framework.
Qualifications and requirements
Qualifications
- Completed PhD by 31 December 2026.
- Doctoral expertise in distributed/federated learning, time-series learning, differential privacy, or communication networks for learning.
Requirements
- Ability to conduct theoretical or experimental distributed-learning research.
- Mobility conditions for the Inria international postdoctoral programme apply.
Documents and steps
Documents
- Application materials requested by the official Inria vacancy
Steps
Review the official research objectives and mobility conditions.
Prepare the application materials requested by Inria.
Submit through the official Inria application route by 31 December 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 Learning for Streaming Data
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