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Computer Science (Distributed Systems, Algorithms) and Environmental Science (Remote Sensing)● Open★ EU-FUNDEDPreview

Fault-Tolerant Remote Sensing Data Dissemination for Climate and Sustainability

Develop adaptive, fault-tolerant data dissemination protocols for drone swarms to enhance environmental monitoring precision.

Best for:Best for computer science PhD candidates with a strong background in distributed systems, algorithms, and environmental monitoring, seeking to contribute to climate research through innovative drone technology.

ENAC · Toulouse, France · R1 · First-stage researcher
More professors at ENAC
distributed computingfault-tolerant protocolsdrone swarm networksremote sensing data disseminationintermittent computingadaptive sensing systems
Deadline
Nov 16, 2026
32 days
Funding
Scholarship
unknown
Start date
flexible (expected soon after selection)
Full-time
Location
Toulouse
France

Overview

This doctoral project at ENAC focuses on designing fault-tolerant data dissemination protocols for drone swarms to improve environmental monitoring in remote ecosystems. The research addresses critical challenges in distributed systems, such as intermittent communication, network partitions, and energy constraints, to enable adaptive sensing data collection. The project aims to survey existing techniques, design novel protocols tailored to specific ecosystems, and validate findings through a proof-of-concept. It combines expertise in computer science, algorithms, and environmental science to advance climate change research and sustainability efforts.

drone swarmsfault tolerancedistributed systemsremote sensingclimate changeenvironmental data collectionalgorithmic protocolswireless ad-hoc networks

What you'll do

  • Design and implement novel fault-tolerant data dissemination protocols for drone swarms to ensure reliable environmental data collection.
  • Survey and evaluate existing dissemination techniques for environmental monitoring, focusing on performance and adaptability.
  • Develop adaptive protocols tailored to specific ecosystems, addressing challenges like intermittent communication and network partitions.
  • Conduct experiments and simulations to validate the proposed protocols using a proof-of-concept implementation.
  • Collaborate with environmental scientists to ensure protocols meet real-world monitoring requirements.
  • Publish research findings in peer-reviewed journals and present results at international conferences.

Requirements

Degree required: Master's degree or equivalent in Computer Science, Systems Design, Mathematics, Environmental Science, Aerospace Engineering, or a related field

Degree offered: PhD

Language: English; excellent proficiency required

Instruction: English

Required skills
  • Proven expertise in distributed systems and algorithms
  • Experience with wireless ad-hoc networks or drone technology
  • Strong programming skills (e.g., Python, C++, Java)
  • Familiarity with distributed computing principles and the CAP theorem
  • Knowledge of environmental data collection and remote sensing
Nice to have
Experience with simulation tools for networked systemsBackground in machine learning or optimization techniquesPublications or research contributions in distributed systems or environmental science
Eligibility
  • Open to applicants with 1-4 years of research experience
  • No specific nationality restrictions mentioned

Funding & terms

Type
Scholarship
Amount
unknown
Duration
3 years (standard PhD duration)
Programme
Horizon Europe – COFUND
EU-FUNDEDHorizon Europe

How to apply

Deadline: 2026-11-16 (Europe/Paris)

Applicants must send an email to rs-resco-recruitment@lists.recherche.enac.fr with the subject line 'FAULT-TOLERANT REMOTE SENSING DATA DISSEMINATION PROTOCOLS FOR CLIMATE CHANGE AND SUSTAINABILITY'. Include a CV, a cover letter, and any relevant academic transcripts or research statements.

Documents required
  • CV
  • Cover letter
  • Master's degree transcripts
  • Research statement or proposal
✉Apply by email

Contact

Lab
Distributed Computer Systems and Networks
ENAC
Horizon Europe – COFUNDFrance
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