PostDoc in acoustic biodiversity monitoring
The Institute for Biodiversity and Ecosystem Dynamics (IBED) at the University of Amsterdam is looking for an ambitious and motivated Postdoc in Acoustic Biodiversity Monitoring for a 30-month (2.5 year) position within the European-funded Biodiversa+ project TABMON.
The desired candidate will be involved in integrating acoustic observations from a cutting-edge, high-throughput and fully autonomous acoustic monitoring system called Bugg with data from structured biodiversity monitoring schemes, i.e. conventional surveys with repeatable protocols and/or a stratified sampling design.
Requirements:
- A PhD in ecology, ecological informatics, or a closely related field;
- Interest, passion and experience with acoustic sensors for biodiversity monitoring;
- Exceptional quantitative skills and profound experience in scripting/programming (e.g. R, Python) and handling of large and diverse datasets;
- Willingness to work in a multidisciplinary team (ecology, computer science; software engineering, remote sensing, environmental management);
- Proficiency in scientific writing;
- Ability to speak and communicate in English at an academic level;
- Ability to work independently and self-motivated;
- Work experience in a European country.
You can apply for the position until 16 June 2024. For more information about the position and how to apply see here.
PostDoc in LiDAR habitat monitoring
The Institute for Biodiversity and Ecosystem Dynamics (IBED) at the University of Amsterdam is looking for an ambitious and highly motivated Postdoc in LiDAR habitat monitoring for a 30-month (2.5 year) position within the European-funded project MAMBO.
The chosen candidate will work on advancing and upscaling the automated calculation of habitat condition metrics derived from LiDAR based on country-wide airborne laser scanning surveys or site-specific drone flight campaigns.
Requirements:
- A PhD in LiDAR, remote sensing, physical geography, Earth science, landscape ecology or a closely related field;
- Interest, passion and experience in using LiDAR data for ecology and biodiversity science;
- Exceptional quantitative skills and profound experience in processing LiDAR point clouds (e.g. scripting/programming in Python) and handling of remote sensing datasets;
- Familiarity with Jupyter Notebooks and computational workflows;
- Experience in High Performance Computing (HPC) processing pipelines and parallel and distributed computing;
- Willingness to work in a multidisciplinary team (remote sensing, ecology, computer science; software engineering);
- Proficiency in scientific writing and successful and strong track-record of publications;
- Ability to speak and communicate in English at an academic level;
- Ability to work independently and self-motivated;
- Work experience in a European country.
You can apply for the position until 16 June 2024. For more information about the position and how to apply see here.