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Devis Tuia

5 months ago

PhD in Forest Treeline Management, Plant Ecology, and Machine Learning at EPFL École polytechnique fédérale de Lausanne in Switzerland

Degree Level

PhD

Field of study

Computer Science

Funding

PhD position at EPFL; funding details are not specified in the provided text. The role is presented as an open doctoral position rather than a self-funded opportunity.

Deadline

Expired

Country flag

Country

Switzerland

University

École Polytechnique Fédérale de Lausanne

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Keywords

Computer Science
Machine Learning
Environmental Science
Biology
Remote Sensing
Forestry
Earth Science
Ecological Modeling
Plant Ecology

About this position

EPFL is advertising a PhD position in Sion on forest treeline management in the Swiss Alps. The project sits at the intersection of plant ecology, machine learning, and ecological modeling, with a strong applied focus on forest management and decision support for regional and national stakeholders.

The doctoral researcher will study the dynamics of alpine forest treelines, project how these systems may change in the future, and help co-develop management tools that can be used in practice. The post is hosted by the ECEO laboratory at École polytechnique fédérale de Lausanne (EPFL), and the announcement mentions collaboration with Christophe Randin.

This is a PhD opening, not a scholarship announcement. The post does not specify funding amount, tuition coverage, or language-test waivers in the excerpt provided. It also does not list detailed eligibility criteria such as a required degree, GPA, or test scores, beyond the thematic fit with ecology and machine learning.

Interested candidates should read the full EPFL careers posting and apply through the official recruitment page. The opportunity is based in Sion, Switzerland.

Funding details

PhD position at EPFL; funding details are not specified in the provided text. The role is presented as an open doctoral position rather than a self-funded opportunity.

What's required

Applicants should be interested in plant ecology, machine learning, and ecological modeling, with motivation to work on alpine forest treelines and forest management. The post suggests collaboration with regional and national stakeholders and a willingness to co-develop management tools. No specific degree, GPA, or language-test requirements are stated in the post excerpt.

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Professors

Professor

University Name
Country flag

Switzerland

Research Interests

Statistics

Ecology

Ecological Modeling

Earth Science

Computer Science