[Expired] PhD Opportunity in Historical Habitat Mapping Using Remote Sensing and AI
PhDFinder
Dato: for 12 timer siden
By: Århus, Region Midtjylland
Kontrakttype: Fuld tid
Fjernarbejde

This position is no longer available.
University: Swiss Federal Institute for Forest, Snow and Landscape Research WSL
Country: Switzerland
Deadline: Not specified
The Swiss Federal Institute for Forest, Snow and Landscape Research WSL is inviting applications for a PhD position focused on historical habitat mapping in Switzerland. This project aims to explore the influence of landscape history on current and future biodiversity using historical aerial imagery, remote sensing, and artificial intelligence for image classification.
Requirements
– Master’s degree in environmental science, spatial ecology, computer vision, or a related field
– Strong understanding of land change science
– Knowledge of artificial intelligence techniques for image classification (e.g., convolutional neural networks)
– Experience analyzing large-scale Earth Observation data; familiarity with black and white aerial imagery is an advantage
– Proficiency in statistical computing and scripting languages (such as R, Python, or MATLAB)
– High motivation for spatial data analysis using advanced modelling methods and tools
– Excellent communication and organizational skills, ability to work effectively in a team
– Fluency in English; knowledge of a Swiss national language is an advantage
Application Information
To apply, please visit: https://lnkd.in/eaXeguUN
Get the latest openings in your field and preferred country—straight to your email inbox. Sign up now for 14 days free: https://phdfinder.com/register
Also See
University: Swiss Federal Institute for Forest, Snow and Landscape Research WSL
Country: Switzerland
Deadline: Not specified
The Swiss Federal Institute for Forest, Snow and Landscape Research WSL is inviting applications for a PhD position focused on historical habitat mapping in Switzerland. This project aims to explore the influence of landscape history on current and future biodiversity using historical aerial imagery, remote sensing, and artificial intelligence for image classification.
Requirements
– Master’s degree in environmental science, spatial ecology, computer vision, or a related field
– Strong understanding of land change science
– Knowledge of artificial intelligence techniques for image classification (e.g., convolutional neural networks)
– Experience analyzing large-scale Earth Observation data; familiarity with black and white aerial imagery is an advantage
– Proficiency in statistical computing and scripting languages (such as R, Python, or MATLAB)
– High motivation for spatial data analysis using advanced modelling methods and tools
– Excellent communication and organizational skills, ability to work effectively in a team
– Fluency in English; knowledge of a Swiss national language is an advantage
Application Information
To apply, please visit: https://lnkd.in/eaXeguUN
Get the latest openings in your field and preferred country—straight to your email inbox. Sign up now for 14 days free: https://phdfinder.com/register
Also See
- Postdoctoral Position in Hydrological Modelling and Climate Impact Assessments of Extreme Events
- PhD Positions in Psychology – Public Biodiversity Valuation and Engagement
- PhD and Postdoctoral Positions in Remote Sensing of the Arctic
- PhD Position in Arctic Snowpack Modeling at Université Laval
- PhD/MSc Position in Tree Diversity and Forest Functioning at UQAM
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