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École Polytechnique Fédérale de Lausanne

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 flag

Country

Switzerland

University

École Polytechnique Fédérale de Lausanne

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Keywords

Computer Science
Ecology
Environmental Science
Biology
Remote Sensing
Geography
Artificial Intelligence
Earth Science
Alpine Ecology
Ecological Modeling
Statistics

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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Professors

Professor

University Name
Country flag

Switzerland

Research Interests

Statistics

Ecology

Ecological Modeling

Earth Science

Computer Science