733 English-speaking jobs in Occitania

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

The Mechanism Delivery Manager will oversee the design, production, testing, and delivery of mechanical and electromechanical mechanisms for spacecraft, aircraft, robotics, or industrial equipment. This role involves close collaboration with engineering, supply chain, manufacturing, and quality teams.

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.

Develop and execute marketing strategies for products, analyze market trends, and contribute to product positioning and commercialization.

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 research position focuses on bridging the gap between two Earth observation models: TAMRF and RELEO. The work will extend the TAMRF architecture to a fully attention-based system using Perceiver-IO, supporting additional sensors and incorporating exogenous variables. The researcher will also contribute to RELEO's training strategy and architecture validation.

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 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 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 understanding transient X-ray events from compact objects like black holes and neutron stars. The student will analyze data from the XMM-Newton observatory and other telescopes to study phenomena such as X-ray binaries, cataclysmic variables, and tidal disruption events. The goal is to improve our understanding of accretion processes, the growth of supermassive black holes, and the evolution of compact objects.

This research investigates the neural and cognitive adaptations to hypobaric environments simulating future lunar habitats. Using neuroimaging and physiological monitoring, the study examines the effects of reduced ambient pressure on brain function, autonomic regulation, and cognitive performance during simulated lunar habitat tasks.

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 develops physics-constrained deep learning algorithms for BIOMASS P-band SAR tomography applications. The research integrates electromagnetic scattering principles into neural network architectures to achieve accurate forest structure reconstruction.

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 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.

Develop a machine learning model to predict the in-flight response of a multi-head particle detector based on ground calibration data. The model will account for instrumental effects and background noise, enabling systematic calibration and intercalibration between detectors.

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 research project focuses on developing a multi-sensor fusion approach to estimate bathymetry and associated uncertainty. The project will integrate existing methods, develop new agile methods for various sensors, and incorporate uncertainty estimation for fusion. The goal is to create a new global atlas of bathymetric data.

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.