Mines Saint-Etienne
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PhD in multi-sensor platform development for onshore CO2 storage site monitoring Mines Saint-Étienne in France
Degree Level
PhD
Field of study
Computer Science
Funding
Doctoral contract, 3-year fixed-term contract. The post is a paid PhD position; no stipend amount or tuition details are stated.
Country
France
University
Mines Saint-Etienne
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About this position
PhD opportunity at Mines Saint-Étienne (Institut Mines-Télécom) in Saint-Étienne, France, focused on the development and characterization of a multi-sensor platform for monitoring onshore CO2 storage sites.
The doctoral project is hosted at the SPIN – LGF center (Georges Friedel Laboratory, UMR CNRS 5307) and is part of the CO2MET consortium with IFPEN, BRGM, Mines Saint-Étienne, and Cerema. The research combines instrumentation, sensor development, metrology, data acquisition and processing, multivariate analysis, and predictive algorithms for long-term CO2 monitoring.
Scientific tasks include selecting existing sensors, testing selectivity against interfering gases, studying reproducibility/drift/linearity/variability in complex gas mixtures, analyzing environmental effects such as temperature, pressure, and humidity, and developing compensation algorithms for sensor aging. The project also includes field case studies at the Sainte-Marguerite site (Puy-de-Dôme) to validate the sensor platform under variable CO2 emission conditions.
Eligibility highlights: Bac+5 or equivalent, ideally a Master 2 in measurement, instrumentation, metrology, or data acquisition/analysis. Research internship or professional experience is preferred, and strong skills in sensors, experimental work, statistics/probabilities, and Python are valuable. Good oral and written English communication is also expected.
This is a 3-year doctoral contract. Applications are reviewed on a rolling basis. Candidates should submit their documents through the Recruitee application portal.
Funding details
Doctoral contract, 3-year fixed-term contract. The post is a paid PhD position; no stipend amount or tuition details are stated.
What's required
Applicants should hold a Bac+5 degree or equivalent, ideally a Master 2 in measurement, instrumentation, metrology, data acquisition, processing and analysis. Prior research internship or professional experience is preferred, with a strong taste for experimental work. Strong knowledge of instrumentation/sensors, data processing, multivariate analysis, and probability/statistics is expected, along with useful numerical skills for Python coding and good oral and written communication skills in English.
How to apply
Submit the application file on the Recruitee platform using the job offer link. Include CV, cover letter, recommendation letter if applicable, and identity document. Applications are reviewed on a rolling basis and shortlisted candidates will be interviewed by videoconference.
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