Job offer

The Research Officer will be responsible for analysing and integrating the datasets generated within the different components of the project. In particular, they will investigate relationships between remote sensing data and the ecophysiological and metabolomic parameters obtained under controlled experimental conditions, and subsequently assess the relevance of these relationships using in situ data collected in Rennes and Toulouse. The position will contribute to the identification of indicators for a better characterization of urban vegetation functioning.

The Research Officer will contribute to the preparation, quality control and analysis of the different datasets. They will implement statistical and data analysis methods appropriate to the scientific questions addressed by the project and contribute to the interpretation of results in close collaboration with consortium members. They will participate in project meetings and scientific exchanges, as well as in knowledge dissemination activities, including the preparation of scientific presentations and publications. Particular attention will be paid to the documentation and reproducibility of the analytical workflows developed.

The position will be based at the LETG laboratory in Rennes and will involve close collaboration with the ECOBIO laboratory (CNRS/University of Rennes), the SYLVA laboratory (INRAE), and ONERA (DOTA).

PhD or equivalent

Research Field Physics

Education Level PhD or equivalent

Research Field Biological sciences, PhD in ecology, agronomy, plant biology, remote sensing, ecophysiology, or a related scientific field. Initial experience in the analysis and processing of scientific data. Good knowledge of statistics and/or data analysis methods. Experience with programming or data analysis tools, particularly R and/or Python. Ability to integrate and interpret data from different sources. Interest in, or initial experience with, remote sensing, ecophysiological and/or metabolomic data analysis. Ability to work independently while contributing effectively to a multidisciplinary research team. Strong scientific communication skills, both written and oral. Ability to disseminate research findings through scientific presentations and publications. Scientific rigour, curiosity, and the ability to rapidly develop new methodological skills.