École Polytechnique Fédérale de Lausanne
5 months ago
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PhD in AI, Remote Sensing and Mountain Ecology for Forest Treeline Management in the Swiss Alps École polytechnique fédérale de Lausanne in Switzerland
Degree Level
PhD
Field of study
Computer Science
Funding
100% contract / full-time contract. The post indicates a PhD position and full-time employment-style contract, but does not specify stipend amount, tuition coverage, or other financial details.
Deadline
Expired
Country
Switzerland
University
École Polytechnique Fédérale de Lausanne
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Keywords
About this position
PhD opportunity in AI, remote sensing, ecology, and mountain environmental science focused on the dynamics of the upper forest line (treeline) in the Swiss Alps.
The project studies how climate change and land-use change affect forest treeline dynamics, with a strong applied component for forest management in alpine regions.
The selected candidate will develop AI models to map treeline evolution from high-resolution remote sensing data, build predictive ecological models to project future trends, and help create practical management tools co-constructed with forest professionals.
The thesis will be hosted at the ECEO (Environmental Computational Science and Earth Observation) laboratory of Professor Devis Tuia at EPFL Valais Wallis in Sion, with co-supervision from Christophe Randin from UNIL/IDYST.
This is a PhD position with a 100% full-time contract. The post does not mention a stipend amount or tuition details.
Start date: September 1, 2026. Applicants should consult the EPFL careers page for the full description and application instructions.
Funding details
100% contract / full-time contract. The post indicates a PhD position and full-time employment-style contract, but does not specify stipend amount, tuition coverage, or other financial details.
What's required
PhD candidate with interest in AI, remote sensing, ecology, and mountain regions. The project involves developing AI models, predictive ecological models, and management tools, so experience or strong motivation in computational methods, remote sensing data, and ecological analysis would be relevant. The post does not specify degree prerequisites beyond the PhD recruitment itself.
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Prepare your application
Review drafts and confirm requirements with the university.
Professors
Professor
Switzerland
Research Interests
Statistics
Ecology
Ecological Modeling
Earth Science
Computer Science
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.