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.
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 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
Responsibilities
- Develop AI/ML optimization algorithms for 5G Broadcast physical and MAC layers.
- Run simulations and experiments and contribute to scientific publications.
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.
Documents and steps
Documents
- Recommendation letters if available
- Resume
- Cover letter
Steps
Review the ROBIN project and 5G/ML requirements.
Prepare resume, cover letter and recommendation letters if available.
Submit online through the official Inria vacancy by 17 September 2026.
Sources behind this vacancy
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Post-Doctoral Research Visit F/M Cross-Layer Machine Learning for Physical and MAC Layer Optimization in 5G Broadcasting
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Programme overview and cycle history