The French National Research Institute for Agriculture, Food, and the Environment (INRAE) is a public research establishment under the dual authority of the Ministry of Agriculture and the Ministry of Research.
INRAE is recruiting researchers by open competition and offering permanent position.
It is a major player in research and innovation created on 1st of January 2020. INRAE is a research institute resulting from the merger of INRA and IRSTEA. It is a community of 12,000 people with more than 200 research units and 42 experimental units located throughout France.
The institute is among the world leaders in agricultural and food sciences, in plant and animal sciences, and is 11th in the world in ecology and environment. INRAE’s main goal is to be a key player in the transitions necessary to address major global challenges. In the face of the increase in population, climate change, scarcity of resources and decline in biodiversity, the institute develops solutions for multiperformance agriculture, high quality food and sustainable management of resources and ecosystems.
Work environment, missions and activities
You are set to become a member of the collaborative research unit known as "Land, Environment, Remote Sensing and Spatial Information" (TETIS).
The primary goal of TETIS is to oversee the integration of spatial information into agro-environmental research and the sustainable management of natural resources and territories. The MISCA team (Modelling, Spatial Information, Knowledge Extraction, and Analysis) is developing innovative hybrid methods that merge data-driven approaches with process-driven approaches as part of the unit's "Objectify" and "Evaluate" initiatives. Your role will involve enhancing this team by leveraging your expertise in Semantic Web for managing spatio-temporal data. As part of your research project, you will be tasked with proposing original methods to establish connections between textual information and satellite imagery through the utilization of semantic knowledge. Diverse specialized nomenclatures, such as those found in the ArtiSols and FoDoMuST projects, alongside general semantic resources like AGROVOC, will be employed, combined, and extended to formulate and implement spatio-temporal and thematic reasoning tailored to heterogeneous data linked to territories and their development. These efforts will serve as the foundation for generating and publishing "semanticized" data, which is crucial for annotating, classifying, and retrieving diverse data within the unit and the institute, encompassing images, surveys, and more. Your contributions will seamlessly integrate into ongoing projects of the MISCA team, including those affiliated with Horizon H2020 and ANR initiatives.
Training and skills
You have a PhD or equivalent.
A specialization in computer science in the field of knowledge representation or data science applied to spatio-temporal data is strongly recommended.
Experience in multidisciplinary scientific collaboration will be a plus.
You enjoy teamwork and you have good interpersonal skills. You show initiative and autonomy.
Fluency in English and knowledge of French are desired, as is long-term international experience: successful candidates who have not yet gained such experience will be strongly encouraged to make a stay abroad at the end of the internship year, prepared jointly with the host team.
INRAE's life quality
By joining our teams, you benefit from:
- 30 days of annual leave + 15 days "Reduction of Working Time" (for a full time);
- parenting support: CESU childcare, leisure services;
- skills development systems: training, career advise;
- social support: advice and listening, social assistance and loans;
- holiday and leisure services: holiday vouchers, accommodation at preferential rates;
- sports and cultural activities;
- collective catering.
For international scientists: please visit your guide to facilitate your arrival and stay at INRAE.