Contract type: Fixed term contract
Duration: 18 months
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:
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:
She/he will also be asked to:
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:
Prerequisites for a good integration to the team/research department are the following:
Candidates interested in the above position can apply online on our website www.list.lu
The application file should include: