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Fully Funded PhD in Environmental Sciences (Landslides & Snow Dynamics) at CNRS, France – Apply by 1 January 2026

About the Program

CNRS – National Centre for Scientific Research invites applications for a fully funded PhD in Environmental Sciences titled “Influence of snow cover and its melting dynamics on the triggering mechanisms and prediction of landslides” at the Centre de Recherche et d’Enseignement des Géosciences de l’Environnement (CEREGE). This doctoral position focuses on understanding how snowpack behaviour and rapid snowmelt trigger landslides, addressing major gaps in current rainfall-based prediction models within environmental science, geosciences, and biological sciences. The project aligns with CEREGE’s research on natural hazards, climate change, and mountain environments, with a strong focus on the French Alps. Based in Aix-en-Provence, France, the three-year PhD will use statistical analysis, meteorological modelling, machine learning, and remote sensing, offering interdisciplinary training, applied research impact, and contributions to national risk-monitoring systems. The expected start date is January 2026.

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Program Details

Research Focus / Area

  • Environmental Science
  • Geosciences
  • Biological Sciences
  • Landslide hazard prediction
  • Snow cover and snowmelt dynamics
  • Climate change impacts in mountain regions
  • Statistical modelling and machine learning
  • Remote sensing and meteorological data analysis

Eligibility & Qualifications

Minimum Requirements:

  • Master’s degree (or equivalent) in environmental science, geosciences, biological sciences, or a closely related discipline
  • Basic knowledge of French

Preferred Qualifications:

  • Research experience in natural hazards, hydrology, cryosphere, or climate science
  • Strong academic record
  • Experience with data analysis, modelling, or machine learning methods

Key Features of the Program

  • Interdisciplinary doctoral research environment
  • Access to national event databases, satellite data, and climate projections
  • Training in advanced statistical and machine learning techniques
  • Contribution to operational landslide forecasting tools
  • Strong relevance for climate change adaptation and risk prevention

Application Process

How to Apply:

Applications must be submitted via the official CNRS recruitment portal.

Required Documents:

  • Curriculum Vitae
  • Cover letter
  • Academic transcripts
  • Any additional documents requested in the application portal

Important Dates

  • Applications Open: December 2025
  • Deadline: 1 January 2026 (23:59 UTC)
  • Interviews: As scheduled by the selection committee

Where to Apply

Learn about more PhD opportunities: HigherJobz

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