Scientific Developer for Ecological Applications of LiDAR Remote Sensing

Scientific Developer for Ecological Applications of LiDAR Remote Sensing

UvA - University of Amsterdam

Amsterdam, Netherlands

We have a job opening for a two-year LiDAR Remote Sensing Scientist for ecological applications at the University of Amsterdam, The Netherlands. The person will be responsible for developing scientific workflows for ecological applications in biodiversity and ecosystem science using airborne and spaceborne LiDAR data. The person will also closely interact with computer scientists and software engineers to make the workflows and tools available in the context of a Virtual Research Environment (VRE).

What are you going to do?

We are looking for a candidate with exceptionally strong skills in LiDAR processing and ecological applications of LiDAR data in relation to biodiversity and ecosystems. The person will develop workflows using LiDAR data from multiple country-wide airborne laser scanning surveys as well as from spaceborne observations of the new Global Ecosystem Dynamics Investigation (GEDI). Ecological applications can include (but are not restricted to) species distribution or biodiversity models with LiDAR metrics, land cover and habitat classification and mapping using LiDAR with machine learning, or change detection of ecosystem structure using multi-temporal LiDAR datasets. The person should show a passion for biodiversity and ecosystems and a deep understanding of how biodiversity and ecosystems change due to natural processes or human impact. Excellent programming skills in Python and R and experience in GIS and geospatial analyses are required. Additional experience in handling other Earth observation and remote sensing data is advantageous. The candidate should also show strong writing and verbal communication skills and have a successful track-record of publications.

You will develop scientific workflows in the context of establishing a Virtual Lab for ecological applications of LiDAR data. This will include the processing of various national, multi-terabyte airborne LiDAR data using a newly developed point cloud processing software tool Laserchicken, and a related High Performance Computing (HPC) processing pipeline called Laserfarm, both of which are implemented in Python. You will also process LiDAR data from the Global Ecosystem Dynamics Investigation (GEDI) using e.g. rGEDI. Other open source software tools for processing and visualization of point clouds and raster data (e.g. rLiDAR, raster, PDAL, GDAL) are also relevant. Using the derived metrics of ecosystem height, ecosystem cover, and ecosystem structural complexity you will develop ecological applications of LiDAR data with relevance to biodiversity and ecosystem science.

This will include national to global analyses of species distributions, ecosystem structure change, and/or mapping and classification of animal habitats using LiDAR and machine learning.

What do we require?

The ideal candidate should meet the following requirements:

  • a PhD degree in LiDAR, remote sensing, ecology, biodiversity, Earth science or a related discipline;
  • interest, passion and experience in LiDAR, biodiversity, computational ecology and Earth observation;
  • exceptional quantitative skills and profound experience in handling and processing LiDAR data (e.g. scripting/programming in Python and R, geospatial analyses, handling of remote sensing datasets);
  • experience with computational workflows;
  • willingness to work in a multidisciplinary team (ecology, computer science; software engineering);
  • proficiency in scientific writing;
  • ability to speak and communicate in English at an academic level;
  • successful and strong track-record of publications.

Of additional advantage:

  • strong skills in species distribution modelling, change detection or machine learning;
  • background in biodiversity informatics and open data science;
  • experience in data and computer science.

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Netherlands     Computing/Programming     Data Science     Earth Science     Environment     Geophysics     Maths and Computing     PhD Required     UvA - University of Amsterdam    

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© EuroJobsites 2020

EuroJobsites is a registered company number: 4694396 VAT number: GB 880 9055 04

Registered address: EuroJobsites Ltd, Unit 8, Kingsmill Business Park, Kingston Upon Thames, London, KT1 3GZ, United Kingdom

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