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Postdoctoral researcher

Post-Doctoral Research Visit F/M Cross-Layer Machine Learning for Physical and MAC Layer Optimization in 5G Broadcasting

Inria

Inria is recruiting a postdoctoral researcher to develop cross-layer machine-learning methods for physical and MAC-layer optimization in 5G broadcasting.

Inria Centre de l’Université de RennesEUR 2,788 gross per month.

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.

Confirm this vacancy before applying.Source review was due 24/08/2026. Confirm details on the official page. JobPosting search markup is withheld until the record is verified, current and open.
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 1 year and 6 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
Role

Responsibilities

  • Develop AI/ML optimization algorithms for 5G Broadcast physical and MAC layers.
  • Run simulations and experiments and contribute to scientific publications.
Candidate profile

Qualifications and requirements

Qualifications

  • PhD in computer science, electrical engineering, telecommunications or related field.
  • Strong 5G/6G wireless-communications and machine-learning background.
  • Programming skills and written/spoken English proficiency.

Requirements

  • Ability to conduct independent research and publish results.
  • Ability to collaborate with academic and industrial partners.
Application

Documents and steps

Documents

  1. Recommendation letters if available
  2. Resume
  3. Cover letter

Steps

  1. Review the ROBIN project and 5G/ML requirements.

  2. Prepare resume, cover letter and recommendation letters if available.

  3. Submit online through the official Inria vacancy by 17 September 2026.

Official evidence

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.

Change history

Published revision history

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Programme continuity

Post-Doctoral Research Visit F/M Cross-Layer Machine Learning for Physical and MAC Layer Optimization in 5G Broadcasting

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