PhD Position in Pattern Recognition for Distributed Acoustic Sensing (DAS) Data
Explore advanced pattern recognition techniques to analyze DAS data for seismic and environmental applications.
Best for:Best for researchers with expertise in signal processing, machine learning, or data science who are passionate about Earth sciences and seismic monitoring.
Overview
This PhD position focuses on developing innovative pattern recognition methods to interpret data from Distributed Acoustic Sensing (DAS) systems. Conducted in Grand Est, France, the project aims to advance seismic monitoring, environmental sensing, and related Earth science applications. The successful candidate will collaborate within a research group specializing in Earth and Universe sciences, contributing to cutting-edge data analysis techniques. The role involves designing algorithms, processing large datasets, and publishing findings in academic journals. Applicants should have a strong background in signal processing, machine learning, or a related field and a passion for interdisciplinary research.
What you'll do
- Develop and implement advanced pattern recognition algorithms for analyzing DAS data.
- Process and interpret large-scale seismic and environmental datasets.
- Collaborate with interdisciplinary research teams to advance seismic monitoring techniques.
- Publish research findings in high-impact academic journals and conferences.
- Present research progress at national and international scientific events.
- Contribute to the development of novel methodologies for seismic signal analysis.
Requirements
Degree required: Master's degree (or equivalent) in Earth Sciences, Geophysics, Signal Processing, Computer Science, or a related field
Degree offered: PhD
Language: French proficiency (level not specified); English proficiency required for academic work
Instruction: French and English
- Strong background in signal processing or machine learning
- Experience with time-series data analysis
- Proficiency in programming languages such as Python, MATLAB, or R
- Knowledge of seismic data processing techniques
- Familiarity with statistical analysis and pattern recognition methods
- Open to international applicants
- No specific nationality restrictions mentioned
- No age restrictions mentioned
- No prior experience caps mentioned
Funding & terms
How to apply
Deadline: 2026-10-13
Applicants should follow the application process outlined on the Campus France portal. Submit a complete application package including academic transcripts, a research proposal, and a cover letter explaining your interest and qualifications. Additional documents may be required based on the institution’s guidelines.
- CV or resume
- Academic transcripts (Bachelor’s and Master’s degrees)
- Cover letter explaining research interest and qualifications
- Research proposal or statement of purpose
- Letters of recommendation (number not specified)
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