761 English-speaking jobs in Occitania

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.

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.

Develop and deliver web-based solutions for a globally distributed platform connecting hospitals and labs. Focus on genomics interpretation, data processing, and analysis. Contribute to a SaaS platform that transforms how complex healthcare data is shared and utilized.

Structural Repairs Expert to provide advanced repair support, analyze damage cases, and develop repair procedures for ATR aircraft. Requires a Master's degree in aeronautical structures or mechanical engineering and 10+ years of experience in aircraft structure stress analysis or repair. Must have expertise in aircraft structural repair principles, metallic and composite materials, and non-destructive testing methods. Fluent in English, with Italian a plus.

Senior Counsel will lead and support Cohere with all commercial technology matters, including structuring, drafting, negotiating, and reviewing complex commercial arrangements. This role will partner with go-to-market, product, compliance, and other stakeholders to shape and scale Cohere’s deployment of B2B enterprise AI solutions.

Internship within a growing Financial Compliance department at Sterimed's Palalda site. Responsibilities include process reviews, subsidiary audits, and support for internal control actions. The role involves international collaboration and contributing to strengthening financial compliance practices.

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.

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 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 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 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 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 aims to characterize the radar cross section (RCS) of electric thruster plasma plumes. The work will involve numerical simulation using a multi-physics tool, development of advanced signal processing techniques for RCS measurement in reverberant environments, and experimental characterization in both anechoic and reverberant chambers.

Many research projects have been carried out in order to reduce surface roughness, by chemical/electrochemical process, or mechanical processes, sand-blasting, micro shot-peening or polishing.

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 project aims to design a next-generation attitude simulator testbed capable of assessing attitude control algorithms under realistic conditions. The new design will eliminate disturbances not found in orbit and handle active dynamic imbalances at the payload level. The project will investigate the use of miniaturised Control Moment Gyroscopes (CMGs) for agile balancing algorithms, decoupling an agile balancing system from the payload's ADCS, and optimizing nonlinear multibody simulations for prototyping and validating control algorithms.

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 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 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.