130 English-speaking jobs in Toulouse
Senior Consultant in Health Economics and HTA (F/M/X)
- Amaris Consulting
- Toulouse
- February 10
SVP Regional Head of Sales, APAC
- Evotec
- Toulouse
- February 7
Manager, Sales Academy
- Evotec (France) SAS
- Toulouse
- February 7
Embedded Linux Software Engineer
- EnduroSat
- Toulouse
- February 5
26-203 Development of Experimental Methods for Measuring Lunar Dust Properties
- CNES
- Toulouse
- February 5
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.
26-001 Investigation of thermal infrared directional effects over urban areas
- CNES
- Toulouse
- February 5
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.
26-139 In-flight calibration of optical sensors polarization sensitivity
- CNES
- Toulouse
- February 5
Develop an innovative method for in-flight calibration of optical sensor polarization sensitivity using sunlight reflection over oceans and inland water bodies.
System Architect (Radio & Communication)
- Thales Aerospace Communications
- Toulouse
- February 4
FPGA Design Engineer
- EnduroSat
- Toulouse
- February 3
26-275 Powder dampers for mitigating satellite micro-vibrations
- CNES
- Toulouse
- February 3
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.
26-023 Sensor-agnostic fusion and representation learning for Satellite Images
- CNES
- Toulouse
- February 3
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.
26-227 Generative model for characterising aerosol plumes from satellite data
- CNES
- Toulouse
- February 3
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.
26-041 Statistical learning for systematics reduction on space coronagraphs
- CNES
- Toulouse
- February 3
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.
26-177 Dynamic analysis of a fast planetary rover
- CNES
- Toulouse
- February 2
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.
26-055 Attitude Testbed and Digital Twin for advanced GNC algorithms
- CNES
- Toulouse
- February 2
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.
26-169 Understanding the transient X-ray sky
- CNES
- Toulouse
- February 2
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.
26-003 Calibration of a multi-head particle detector with machine learning
- CNES
- Toulouse
- February 2
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.
26-215 Multisensor/method fusion to estimate bathymetry and intrinsic certainty
- CNES
- Toulouse
- February 2
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.
26-008 Defect-Based Method for Predicting the Fatigue Life of Metal L-PBF Parts
- CNES
- Toulouse
- February 2
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.
26-006 Contribution of remote sensing to hydrological modeling optimization
- CNES
- Toulouse
- February 2
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.
























































