Researcher in Ecological remote sensing - Hiring in process/Finished, not possible to apply

Subject description
The person will conduct research within the interdisciplinary project “Remote sensing of grassland communities” which is conducted in collaboration between the Department of Physical Geography and Ecosystem Sciences and the Department of Biology at Lund University.

The subject area concerns ecological remote sensing including spatial analysis of ecological data. The research questions focus on the ability of optical remote sensing to capture variation in plant community composition in dry, grazed grasslands. The study system consists of differently-aged grassland sites, within a succession from former arable land to ancient semi-natural grasslands, on the Baltic island of Öland, Sweden.

Work duties
The person will analyse plant data and spectral data, perform statistical analysis and write scientific articles within the sub-project ”Grassland plant species responses to community-level spectral reflectance are explained by their habitat preferences”. The person should also prepare for further studies within the interdisciplinary project “Remote sensing of grassland communities”.

Qualification requirements
• Very good knowledge of:
- ecological remote sensing with a focus on the ability of optical remote sensing to capture variation in plant community composition in dry, grazed grasslands of differing ages
- grassland ecology
- spatial analysis
- optical remote sensing methods including processing and analysis of multispectral and hyperspectral data
- relevant statstical methods for the sub-project such as “Partial Least-Squares Resgression (PLSR)” and “joint species distribution modeling (HMSC)”
- English in speech and writing
• The person must have published peer-reviwed scientific articles in the fields of ecological remote sensing and grassland ecology
• Master’s degree in physical geography and ecology or equivalent
• Approved doctoral dissertation in the field of ecological remote sensing

Consideration will also be given to good collaborative skills, drive and independence, and how the applicant’s experience and skills complement and strengthen ongoing research within the departments, and how they stand to contribute to its future development.

Terms of employment
100 % fixed-term employment during the period 2020-06-01—2020-09-30. 

Instructions on how to apply
Applications shall be written in English and be compiled into a PDF-file containing:
• résumé/CV, including a list of publications
• a general description of past research and future research interests (no more than three pages)
• contact information of at least two references
• copy of the doctoral dissertation
• copy of the degree certificates, and other certificates/grades that you wish to be considered