Researcher in Remote Sensing of biodiversity - Hiring in process/Finished, not possible to apply

Subject description
The position is for a researcher for one year to work within the project Developing remote sensing methodology for grassland biodiversity in the agricultural landscape, financed by the strategic 
research area BECC.

The project aims at developing remote sensing methodology for biodiversity research. The focus is semi- natural grasslands, and the vital task is to monitor their status in a landscape perspective 
to inform relevant conservation policies. We aim to investigate remotely sensed data of 
productivity, phenology, structure, and spectral variability using novel data from the latest 
series of satellites. The project will add remote sensing expertise to enable synergistic analyses 
of novel aspects in grasslands with an on-going FORMAS project. Thereby, several un-sampled 
properties will be investigated: biological productivity of grasslands and surrounding crop fields 
(agricultural intensity); phenology, trees and bushes, canopy structure and height, wetness and 
nutrient status of the grasslands and surrounding landscape; and spectral diversity. The project 
will develop methodology for future large-area biodiversity investigations as well as disentangling the role of local and landscape scale drivers of biodiversity.

Work duties
The main duty of the position is to conduct research.Important tasks are to analyse time series of remotely sensed data from the satellite Sentinel-2, and to process these to extract parameters relevant to grassland biodiversity. This concerns both seasonal parameters to describe phenology, but also structural and spatial parameters and spectral 
parameters relating to environmental conditions. Multivariate and machine learning methods may be used to investigate correlation structures.

The work is carried out together with a team of remote sensing expertise within the Department of Physical Geography and Ecosystem Science, and in close collaboration with biodiversity researchers within the project Mitigating negative effects of land-use intensity in small-scale land-sparing strategies for farmland biodiversity conservation at the Centre for Environment and Climate, Lund University.

Qualification requirements
The appointment requires that the applicant has a PhD, or an international degree deemed equivalent to a PhD, within the subject of the position.

Applicants must have:
-    Basic university education in technical or natural science with a large component of geomatics 
(GIS, remote sensing)
-    PhD with specialization in optical remote sensing of vegetation.
-    Very good oral and written proficiency in English.

Assessment criteria and other qualifications
The assessment of the applicants will primarily be based on their research qualifications and 
potential as researcher. Particular emphasis will be placed on research skills within the subject.

For the appointment, the following shall form the assessment criteria:
•    Optical remote sensing
•    Experience within applications towards plant science / ecology / biodiversity
•    Computer programming
•    Data analysis (time series analysis, statistics, numerical analysis, etc.)
Additional assessment criteria:
•    Published in international journals
•    Other documented communication skills

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 department, and how they stand to contribute to its future development.

Terms of employment
This is a full-time, fixed-term employment of 1 years.

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 description research experience, including how the applicant matches the specified criteria.
•    Contact information of at least two references,
•    Copy of the doctoral degree certificate, and other certificates/grades that you wish to be 
considered.