130 English-speaking jobs in Toulouse

Senior Consultant in Health Economics and HTA will lead projects including Health Economics, HTA submissions, and act as a project manager. Responsibilities include interacting with clients, identifying methodological solutions, leading project implementation, and providing management and technical support to team members. Requires a Master's degree or equivalent in Health Economics, Biostatistics, or a related field, over four years of relevant experience, proficiency in Excel and VBA, and fluency in English.

Senior Vice President (SVP), Regional Head of Sales – APAC will define and execute a regional sales strategy, build the sales organization, and deliver sustained commercial growth. This role requires 15+ years of commercial experience in the life sciences sector, 7+ years in a senior leadership role, and proven experience building and executing regional growth strategies.

The Manager, Sales Academy designs and delivers training programs on sales processes, CRM systems, new services, and commercial best practices to enhance sales team performance and growth.

Embedded Linux Software Engineer will configure, customize, and build Linux distributions using the Yocto Project. Responsibilities include modifying kernel drivers in C, integrating third-party libraries, and developing software solutions for space applications. Experience with the Yocto Project, C programming, and Git is required.

A PhD student will develop experimental protocols to measure the electrical properties of lunar dust simulants in a simulated lunar environment. The research will focus on the impact of dust grain electrical properties on charge and adhesion under varying temperatures and irradiation.

This PhD investigates the impact of urban 3D structures on land surface temperature (LST) retrieved from future thermal infrared satellite missions. The research aims to develop a semi-physical directional model to correct for these effects and normalize data acquired under different viewing and illumination conditions.

Develop an innovative method for in-flight calibration of optical sensor polarization sensitivity using sunlight reflection over oceans and inland water bodies.

System Architect for radio-communication developments, encompassing VHF and HF Data Radios. Lead System Engineering and IVV activities, conduct partner/supplier assessments, and lead advanced studies on next generation radio architectures.

Develop next-generation satellite modules using Verilog or VHDL. Experience with digital signal processing, digital verification, and the full digital design flow is required. Collaborate with leading space companies on groundbreaking projects.

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 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 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 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 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.

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 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 aims to develop a method for predicting the fatigue life of metal parts produced by L-PBF additive manufacturing, considering the influence of defects. The research will involve developing a two-scale approach linking a local model detailing defects to a large-scale model of the assembled structure.

This PhD thesis investigates the use of remote sensing data to improve hydrological modeling. The research will focus on optimizing a semi-distributed GR model using various remote sensing products, including snow cover, soil moisture, evapotranspiration, and water levels. The goal is to enhance model parameterization, improve consistency between simulated variables and observations, and increase the model's spatial and temporal transferability.