727 English-speaking jobs in Occitania

Develop and drive marketing strategy and product development for urology products. Analyze market trends, consumer needs, and competitor activity. Communicate brand strategies to countries/territories and ensure implementation. Manage product portfolio performance, including sales, costs, and profitability.

AI/ML Engineer to design, train, and validate AI/ML models for satellite autonomy, including rendezvous, inspection, and space domain awareness. Develop learning-based components for guidance, navigation, perception, and decision-making. Build and maintain synthetic data generation pipelines and integrate ML components into flight software.

Receptionist / Office Manager needed for a NewSpace company. Manage visitor reception, office upkeep, and supply management. Fluent English required, French a plus.

Technical Referent for Avionics Data Communication Network (ADCN) integration. Leads collection and refinement of avionics needs, contributes to ADCN system modifications, and manages ADCN resource allocation. Requires a diploma in Engineering, fluency in English, and knowledge of avionics and network technologies. Experience in multi-system architecture and stakeholder management is beneficial. Position requires security, export control, and military clearances.

Provides executional and analytical support to accelerate eCommerce performance across global markets. Collaborates cross-functionally to ensure best-in-class digital shelf execution, eJoint Business Plans, and Retail Media optimization. Supports the eCommerce and digital acceleration of Dexeryl / Dexeclear brands in select markets.

Regulatory CMC Development Expert needed for permanent position in Toulouse. Develop CMC regulatory strategy for assigned projects from early clinical trials to marketing applications. Collaborate with Pharmaceutical Development and Regulatory Development Teams.

This PhD research aims to develop a method for characterizing aerosol plumes from satellite data by jointly inverting plume and surface reflectance properties. The project will explore the use of variational autoencoders (VAEs) to provide prior information on surface reflectance, overcoming limitations of existing methods that rely on simplifying assumptions and plume-free images.

This PhD thesis focuses on developing advanced image processing methods for space coronagraphs, specifically addressing systematics limiting JWST and Roman observations. The student will explore analytical approaches using JWST wavefront measurements and existing coronagraphic images, and develop hybrid methods combining optical modeling with telemetry and archive data. The goal is to improve exoplanet detection limits by removing starlight contamination and instrumental artifacts.

This PhD research focuses on developing a new type of powder damper for mitigating micro-vibrations in satellites. The project will involve developing a dynamic model, characterizing the damper through vibration tests, and optimizing its design for maximum energy dissipation.

This research project analyzes lightning activity observed by the MTG-LI instrument, focusing on flash and storm scales. The study will compare lightning properties and cloud characteristics over Europe, Africa, and the Atlantic Ocean.

This thesis develops AI tools to optimize plant cultivation in closed-loop life support systems for space missions. It focuses on using machine learning and computer vision to estimate plant and environmental states, and reinforcement learning to compute autonomous cultivation strategies.

This PhD project investigates the impact of blue economy interventions (marine protected areas, mariculture, eco-tourism) on poverty and outmigration in coastal villages of Madagascar. Using satellite imagery, AI algorithms, and statistical methods, the research will assess the causal link between blue economy development and socioeconomic outcomes over a 20-year period.

This thesis focuses on improving numerical simulations of gas flows in hybrid rocket engine combustion chambers. The work involves integrating a pyrolysis law for solid fuel degradation into the MoDeTheC code and coupling it with the CEDRE code to simulate mass and heat transfer at the fluid/fuel interface. Simulations will be validated against experimental data from ONERA and used to optimize combustion chamber geometries for improved engine performance.

This PhD study investigates the impact of high-energy radiation on spacecraft components and characterizes electrostatic discharges on critical elements. The research involves experimental, instrumental, and numerical methods to identify and measure discharges under simulated space conditions.

This PhD research develops robust models of four-wheeled rovers for dynamic behavior, aiming to increase cruising speed to five meters per second. The research integrates structural characteristics, damping, control, and interface capabilities with emerging technologies.

This research position focuses on improving the accuracy and capabilities of DTM_nrt, an AI-based thermosphere density forecast model. The successful candidate will investigate model limitations, explore data assimilation techniques, and develop enhancements to the model's performance.

This thesis focuses on developing a reduced-order model for the Salammbô 3D electrons code, used to simulate Earth's radiation belts. The research will explore dimensionality reduction, dynamic modeling in latent space, and the impact of dimensionality reduction on model accuracy.

This thesis develops a probabilistic framework for collision risk assessment in space, addressing uncertainties in covariance matrices, Time of Closest Approach, and nonlinear dynamics.

This PhD research will investigate the microphysics of triboelectric charging of dust grains on Mars. The study will combine experimental, theoretical, and numerical approaches to understand how charge is exchanged during grain-grain collisions and how ambient conditions influence these exchanges. Results will be compared with in situ data from the SuperCam instrument on the Perseverance rover.

This PhD research aims to improve the reliability of antenna measurements by developing new methods for assessing far-field patterns from raw data and quantifying uncorrectable uncertainties. The research will explore narrow-band delay-based models, wavelet-based deconvolution, and stochastic methods to address challenges related to spurious scatterings and environmental randomness.