Lunds universitet, institutionen för naturgeografi och ekosystemvetenskap

Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 47 000 students and more than 8 800 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.

Lund University welcomes applicants with diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset.

Subject description

The position is for a researcher for two years to work within the EU financed project CROSSDRO (, which aims at cross-sectoral analysis of drought impact on nature and society. The analysis focuses drought impacts on vegetation, and is carried out in collaboration with four international partners. At Lund University, the analysis of satellite data at two scales is focused: Europe, and chosen drainage basins.

Work duties

Research will be carried out in Remote Sensing according to the following: The researcher will work with analysis of time series of remotely sensed data (primarily MODIS, Landsat, and Sentinel-2) to study impacts of drought on European level and in higher detail for chosen drainage basins. Also data reflecting geographical conditions (topography, land cover) and weather variations (precipitation, temperature, evaporation) and societal relationships (infrastructure, land use) are included in order to develop explanatory models for drought sensitivity, drough impact and drought resilience. Changes in dynamic vegetation response (phenology, productivity) and effects on water resources and carbon balance are important components.

Qualification requirements

Applicants must have:

  • Basic university education in technical or natural science with a large component of geomatics (GIS, remote sensing, computer analysis)
  • PhD with specialization in remote sensing of vegetation
  • Very good oral and written proficiency in English.

Assessment criteria

Criteria for the selection of candidate is knowledge and experience in the following fields:

  • Optical remote sensing, preferably oriented towards time-series analysis
  • Climatology / hydrology / water resources
  • Plant science / ecology, preferably oriented towards productivity, e.g. phenology, carbon uptake etc.
  • Computer programming
  • Data analysis (statistics, numerical analysis, time series analysis etc.).

Other qualifications

  • Experience in international publication
  • Other documented communication skills
  • Experience in independent research work, e.g. as a post doctoral researcher, or project leadership

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

Fixed-term employment for 2 years (100%), with starting date 2021-01-01. 

Contact person: Lars Eklundh 

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 degree certificate, and other certificates/grades that you wish to be considered
Type of employment Temporary position
Contract type Full time
First day of employment 2021-01-01 or in accordnace to agreement for two years
Salary Monthly salary
Number of positions 1
Full-time equivalent 100
City Lund
County Skåne län
Country Sweden
Reference number PA2020/3440
  • Lars Eklundh, Professor , +46 46 222 96 55,
  • My Geborek, Human Resources Coordinator, +46 46 222 48 53,
Union representative
  • OFR/ST:Fackförbundet ST:s kansli, 046-222 93 62
  • SACO:Saco-s-rådet vid Lunds universitet, 046-222 93 64
  • SEKO: Seko Civil, 046-222 93 66
Published 26.Oct.2020
Last application date 09.Nov.2020 11:59 PM CET

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