Publisher
source

CEA

PhD Thesis Proposal: Design and Analysis of Adaptive Traffic Scheduling Mechanisms for Time-Sensitive Networks ECE in France

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

December 31, 2026
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Country

France

University

CEA

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Keywords

Computer Science
Electrical Engineering
Industrial Engineering
Real-time Systems
Robustness Analysis
Scheduling Algorithms
Latency
Industrial Internet
Machine learning

About this position

This PhD position at ECE in Paris, France focuses on the design and analysis of adaptive traffic scheduling mechanisms for Time-Sensitive Networks (TSN). TSN is a critical technology for deterministic communication in distributed systems, especially in automotive, avionics, and industrial automation, where predictable and bounded delays are essential. The project aims to address the limitations of current TSN scheduling, which relies on worst-case traffic assumptions, by developing adaptive and robust scheduling strategies that respond to real-world variability in network traffic.

The research will be supervised by Dr. Emmanuel Grolleau, Dr. Angeliki Kritikakou, and Dr. Aakash SONI, and will be conducted in collaboration with leading research laboratories including INRIA (Rennes), LIAS/ENSMA (Poitiers), and LYRIDS-ECE (Paris). The successful candidate will investigate extensions to the Time-Aware Shaper (TAS) mechanism, moving beyond static configurations to dynamic, traffic-aware scheduling. The work will involve modeling, algorithmic development, and experimental validation using simulation platforms such as OMNeT++.

Key research objectives include analyzing the impact of deviations from worst-case traffic assumptions, designing self-adjusting scheduling mechanisms that maintain temporal safety, and developing new robustness metrics for deterministic schedules. The project will contribute both theoretical insights and practical algorithms for improving the performance and reliability of TSN systems, with broader implications for industrial networking and real-time systems.

Applicants should have a background in real-time scheduling and/or embedded networks, strong programming skills, and proficiency in English. Application materials required are a cover letter, CV, and two recommendation letters. The application deadline is February 17, 2026, with interviews scheduled between December 2025 and March 2026. For further information or to apply, use the provided application link or contact the supervisors directly via email.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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