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Richard F. Ott

1 month ago

Two Fully Funded PhD Positions in Mountain Building, Biodiversity, and Landscape Evolution University of Amsterdam in Netherlands

Degree Level

PhD

Field of study

Environmental Science

Funding

Both PhD positions are fully funded for 4 years.

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Country

Netherlands

University

University of Amsterdam

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Keywords

Environmental Science
Biology
Geography
Geomorphology
Biodiversity
Earth Science
Landscape Evolution
Thermochronology
Physics

About this position

Richard F. Ott at the University of Amsterdam is hiring two fully funded PhD candidates to work on the connection between mountain building and biodiversity in the Northern Andes of Colombia.

The project sits in the Ecosystem & Landscape Dynamics Department and combines geomorphology, landscape evolution, Earth science, and biodiversity research. The goal is to understand how topographic change shaped a biodiversity hotspot through time.

PhD-1 focuses on generating geological constraints on landscape evolution through fieldwork, laboratory analyses, and data interpretation, including cosmogenic nuclides, thermochronology, and geologic interpretation.

PhD-2 focuses on developing and applying numerical and inverse models to reconstruct paleo-topography and connect those reconstructions to biodiversity patterns.

The positions are described as fully funded for 4 years. The post does not mention a deadline in the text provided, so applicants should check the vacancy pages promptly for current closing dates and application instructions.

Interested candidates should review the vacancy links for the two PhD tracks and apply through the University of Amsterdam recruitment page.

Funding details

Both PhD positions are fully funded for 4 years.

What's required

Applicants should be interested in mountain building, biodiversity, geomorphology, landscape evolution, fieldwork, laboratory analyses, numerical modelling, and data interpretation. PhD-1 emphasizes cosmogenic nuclides, thermochronology, and geologic interpretation; PhD-2 emphasizes developing and applying numerical and inverse models to reconstruct paleo-topography and biodiversity links.

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