Engineer in Remote Sensing for crop water stress applications (M/F)

 (via ResearchGate)
Luxembourg Institute of Science and Technology
Position Type: 
Organization Type: 
University/Academia/Research/Think tank
Experience Level: 
Not Specified
Degree Required: 
Advanced Degree (Master's or JD)


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Job description


As part of a Research and Technology Organization (RTO), the work of the Environmental Research and Innovation (ERIN) Department tackles some of the major environmental challenges our society is facing today, such as climate change mitigation, ecosystem resilience, sustainable energy systems, the efficient use of renewable resources, and environmental pollution prevention and control. To this end, the mission of the ERIN department is:

  1. To conduct impact-driven scientific research and development, as well as technological innovation
  2. To support companies in the implementation of new environmental regulations and advise governments on determining sustainable policies for the future with the objectives of:
  • Analysing, managing and exploiting sustainable resources (water, air, soil, renewable energy, bioresources)
  • Reducing the environmental impact of human consumption and production activities

We are offering an engineer position in using Earth Observation (EO) data for crop water stress management. The successful candidate will join the Remote Sensing and Natural Resources Modelling team of ERIN's Environmental Modelling and Sensing (ENVISION) unit. This unit carries out impact-driven research, geared towards monitoring, forecasting and predicting environmental systems in a changing world. She/he will integrate an interdisciplinary team of around 50 scientists, engineers, post-docs and PhD candidates supporting the public and private sectors by developing new process understanding, alongside new environmental management tools and technologies, operating at unprecedented spatial and temporal scales.


The position is part of an applied project in remote sensing and modelling of crop water requirement and stress to support irrigation management. The candidate will work in a team which aims to assess the feasibility of using the three evapotranspiration/water stress algorithms (Penman-Monteith equation type algorithm, trapezoidal type algorithm, Crop Water Stress Index) for irrigation scheduling based on experimental data collected in Germany and Portugal. This will include processing of visible to near-infrared (VNIR) and thermal infrared (TIR) remote sensing data collected from unmanned aerial vehicles, manned aircrafts and satellites. On the modelling site, the successful candidate will support the team in the implementation of algorithms for assessing crop water requirement and crop water stress (Penman-Monteith equation type algorithm, trapezoidal type algorithm, Crop Water Stress Index, etc.).

The successful applicant’s main missions will be to:

  • Define and document the above-mentioned algorithms for the estimation of ET and water stress
  • Access and pre-process VNIR and TIR satellite data (Sentinel, Landsat, etc.)
  • Implement water stress indices in R, IDL, or Matlab
  • Run Matlab- or R-based codes of ET models
  • Run  the ET and water stress algorithms and give support in performing a  model comparison for different crops, growing stages and irrigation  schemes
  • Prepare maps of NDVI, radiometric temperature, CWSI and ET
  • Collaborate in the comparison of ground temperature and CWSI values with drone temperature and CWSI values
  • Collaborate in the preparation of monthly reports and project reports

She/he will also be asked to:

  • Maintain state of the art in his/her technological field,
  • Document own work in order to ensure the reproducibility and guarantee the traceability of the results,
  • Train on new techniques, machines, equipment


Candidates interested in the above position can apply online on our website
The application file should include:

  • A CV
  • A motivation letter
  • Possibly the name of 2 or 3 referees

Desired skills and experience


  • MSc in  environmental remote sensing, geosciences, environmental sciences,  physical geography, applied physics or other relevant scientific  discipline


The successful applicant will be integrated in a team of  professionals who will share their expertise and know-how with her/him.

Required technical skills:

  • Advanced skills in optical reflective and thermal infrared remote sensing
  • Solid  skills in image processing including geometric and radiometric  correction and advanced processing (retrieval of land surface  temperature)
  • Basic understanding of methods for assessing crop water requirement and crop water stress
  • Experience in implementing scientific algorithms
  • Advanced skills in image processing software (IDL/ENVI), GIS, and programming (R, Matlab)
  • Ability to write technical reports in English and to produce graphical figures and maps

Prerequisites for a good integration to the team/research department are the following:

  • You are open minded and think interdisciplinary
  • You are creative, a team player and have proven organizational skills
  • You show team spirit, capability and willingness to work in a multidisciplinary project within an international team
  • You show enthusiasm towards research and a passion for solving challenging problems that require complex creative solutions


  • Proficient spoken and written knowledge of English is mandatory
  • Proficiency of at least one of the official languages of the country is an asset (French, German or Luxembourgish)

Areas of Research

  • Agricultural Biotechnology
  • Energy Engineering
  • Crop Science