Ingénieur R&D Data science pour les traînées de condensation (F/H)

The position of R&D Data Science Engineer for condensation trails at Groupe SII in Toulouse involves working within a dedicated R&D team focused on innovative projects aimed at reducing non-CO2 aviation effects. Daily tasks include automating the evaluation processes for predictive models of condensation trails using ground and satellite observations, as well as collecting and structuring flight data for analysis. The role requires developing and enhancing Python-based treatments for predicting condensation trails and designing algorithms for automatic detection in various observational images. Additionally, the engineer will implement co-localization methods to identify trails across multiple datasets and assess model performance by comparing detected and predicted trails. Candidates should be pursuing a Master’s degree in Computer Science or an engineering school with a software development specialization. Strong programming skills in Python or similar technologies are essential, along with an interest in solving complex problems and collaborating in an Agile environment. Effective technical communication and a commitment to environmental issues are also important for this role. The job does not specify the employment type or working arrangement.