PhD student - Early Stage Researcher (ESR2)
Visual, NDVI and hyperspectral assessment of grassland plant and vegetation traits
Our reference: EV/2019/014/Plant39
Your PhD project
Fast methods are needed to assess grassland biomass production and compositional traits. You will develop protocols and algorithms for RGB, multispectral and hyperspectral UAV imaging to detect spatial and temporal variability of plant and vegetation traits (biomass, persistency/density, etc.) and species composition (grasses, legumes, forbs) in grasslands. You will apply these algorithms both in the natural ecosystems of the ForHot sites in Iceland to assess changes in ecosystem functioning in relation to climate change, and in grassland agro-systems in Belgium to enable specific management measures (e.g. fertilization, weeding) based on detailed spatiotemporal assessments of grassland quality and composition. The results will be linked to controlling variables (e.g. climatic environment, soil characteristics) and results of other ESRs.
You will embark on secondments to other FutureArctic partners (UAntwerpen, SVARMI), to translate common agro-assessments into trait-based assessments of vegetation functioning in natural ecosystems and to market-optimize UAV assessments of plant and vegetation traits, applying newly gained knowledge (with ESR10).
Benefits of working in an ITN
- You will be working within our international group of > 25 researchers
- You will get in contact with the other members of this international consortium and will benefit from the joint training platform to develop skills necessary for developing an “ecosystem-of-things”.
You may apply for this position until 31st August 23:59h / before 1st September 2019 Belgian local time. Applicants are requested to send a full CV and motivation letter and the names of two referees (to be called upon should you be shortlisted) to Greet.Ruysschaert@ilvo.vlaanderen.be or Peter.Lootens@ilvo.vlaanderen.be. Short-listed candidates will be invited for a skype interview during September/October 2019.
Expected start date: January 2020
For additional information about the research project and this individual position, please contact:
Dr. ir. Peter Lootens - firstname.lastname@example.org
Dr. ir. Greet Ruysschaert - email@example.com
Please, find additional information in the Information package for Marie Curie fellows