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Computer Science and Telecommunications● OpenPreview

PhD on Telecom Infrastructure Resilience to Climate Change

Build data-driven models to evaluate and improve telecommunications network resilience against climate extremes.

Best for:Best for computer science or data science master's graduates with a strong interest in telecommunications networks and machine learning.

Inria · Sophia Antipolis, France · R1 · First-stage researcher
More professors at Inria
Telecommunications NetworksClimate Change AdaptationMachine LearningData AnalysisResilience
Deadline
Nov 22, 2026
31 days
Funding
Salaried
€2.3k/mo
Start date
2027-02-01
Fixed-term
Location
Sophia Antipolis
France

Overview

This doctoral position at Inria Sophia Antipolis investigates how climate change impacts telecommunications infrastructures. Operating across the COATI and SIGNET research teams and funded by the PEPR Carecloud project, the researcher will develop automated, data-driven methodologies to assess network vulnerability and cascading failures. The project involves analyzing massive spatio-temporal datasets, modeling causal relationships between weather events and network disruptions, and proposing future-proof optimization strategies. The successful candidate is expected to publish research findings and help design robust next-generation network architectures.

telecom resilienceclimate changetime series analysisnetwork modelingcausal inferencemachine learningtelecommunicationsbig data

What you'll do

  • Aggregate and couple large-scale weather time series, network outage reports, and performance metrics across France
  • Develop standardized metrics to quantify the weather and climate vulnerability of network equipment and nodes
  • Design statistical and machine learning models to identify root causes of incidents and trace cascading failures
  • Incorporate cross-dependencies with critical infrastructure such as electrical power distribution networks
  • Simulate network behavior under future climate extreme scenarios derived from IPCC projections
  • Formulate optimization strategies including equipment hardening, dynamic routing, and network redeployment

Requirements

Degree required: Master 2 or Engineering Degree in Computer Science, Data Science, or Telecommunications

Degree offered: PhD

Language: English; working knowledge of French is beneficial

Instruction: English and French

Required skills
  • Strong background in data analysis and time series processing
  • Experience with machine learning and deep learning methodologies
  • Solid knowledge of telecommunications networks and Internet protocols
  • Strong enthusiasm for interdisciplinary research spanning computer science, networking, and environmental science
Nice to have
Experience handling large-scale open-data telemetry or spatio-temporal datasetsFamiliarity with network measurement tools such as RIPE Atlas
Eligibility
  • Must hold a recognized Master 2 degree or equivalent qualification prior to appointment

Funding & terms

Type
Salaried
Amount
€2.3k/mo
Duration
36 months
Programme
PEPR Carecloud
Inria / PEPR Carecloud

How to apply

Deadline: 2026-11-22

Candidates must submit their applications online through the official Inria recruitment portal before the specified deadline. Applications sent via alternative channels cannot be guaranteed consideration.

Documents required
  • CV
  • Cover letter
  • Academic transcripts
↗Apply on site

Contact

JM
Prof.
Joanna Moulierac
Centre Inria d'Université Côte d'Azur
Lab
COATI and SIGNET
Inria
PEPR CarecloudFrance
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