Scientific Project Officer – Methodological development of the landscape features indicator

The Joint Research Centre (JRC) provides independent, evidence-based knowledge and science, supporting EU policies to positively impact society.

The current vacancy is in the Directorate for Sustainable Resources. Its mission is to provide independent scientific evidence to support the development, implementation, evaluation and coherence of EU policies, mainly in the areas of agriculture and rural development, development cooperation, environment and climate change, the blue economy and fisheries, the bio economy, industry and trade.

The vacancy is in the Food Security Unit which contributes to scientific development towards a more effective and efficient management of EU policies related to agriculture and food security.

The position is part of the Agriculture & Environment & Climate project team that focuses on improving the environment and climate dimensions of EU food systems and policies. Further information: https://ec.europa.eu/jrc/en/science-area/agriculture-and-food-security

The offer

The JRC provides high-quality working conditions in a dynamic environment. Working in a multidisciplinary and multicultural team, the successful candidate will have a unique opportunity to support EU policies and contribute to JRC’s research agenda. The JRC encourages interactions with policy makers, academics and other leading stakeholders active in the field, including participation in (international) conferences and workshops.

The jobholder will contribute to the work of the team supporting the assessment of the impact of farming practices on the environment. In particular, the candidate will contribute to the development of a an EU-wide indicator on landscape features based on the 2022 LUCAS survey in support of the environmental evaluation of the Common Agricultural Policy (CAP) and European Green Deal. 

Central to the position is methodological development for the I.21 impact indicator on landscape features as part of the Performance Monitoring and Evaluation framework of the CAP. A core task relates to the data processing and statistical analysis of the LUCAS landscape feature module gathered on 90.000 points across the EU. Furthermore, analysis regarding the complementarity between remote sensing data (e.g. Copernicus Small Woody Features), the LUCAS in-situ survey, as well as geospatial datasets on landscape features available in Member States will be required.