N/A
Internship
Full-time
Master's degree
Between 0 and 2 years
13/03/2026
Bioregenerative life support systems (BLSS) are being considered for future long-duration manned space travel, as supplies from Earth are too expensive, if not impossible. Moreover, environments suitable for agriculture will also be difficult to access on Earth, mainly due to climate change and resource depletion. Both on Earth and in space, it is therefore necessary to find solutions for growing plants, which can benefit from robotics, advanced automation and machine learning, according to the scientific literature.
This internship project in artificial intelligence applied to precision agriculture aims to contribute to the development of methods for maximising long-term production and minimising resource consumption.
It focuses on optimising:
1. the estimation of the state of plants and their environment using machine learning and computer vision algorithms to monitor their growth,
2. sequential decisions using reinforcement learning algorithms to calculate autonomous cultivation strategies that are efficient and economical in the long term.
Towards mixed-initiative planning systems: building upon automated planning and plan recognition systems to construct solutions collaboratively
Reinforcement Learning from Human Feedback (RLHF) for Human–AI Collaboration
Internship
Full-time
4.35€ / hour
Intern
The goal of this internship is to explore Reinforcement Learning from Human Feedback (RLHF) in a cooperative setting. Instead of learning only from environment rewards, the agent’s policy will be shaped by a human partner’s feedback during collaboration. Specifically, the human teammate will be able to assign positive or negative rewards based on how helpful, efficient, or intuitive the agent’s actions feel during the joint task. The intern will investigate how such feedback influences learning stability, team performance, and perceived fluency.
Numerical simulation of cracking in anodic films
Internship offer
Full-time
Master's degree
Between 0 and 2 years
Intern
2000 series aluminium alloys are widely used in the aerospace industry because of their very good specific mechanical properties.
In addition to the mechanical stresses associated with their use, aeronautical structures are also subjected to environments that can alter their integrity. Anodising surface treatments enable a thin protective film to grow, thereby improving the corrosion resistance of these alloys.
However, cracking or crazing can occur as a result of thermal stress, considerably reducing their resistance to corrosion in harsh environments. Understanding these anodic film degradation phenomena and identifying and taking into account the influencing parameters will help to improve the thermal behaviour of anodised components.
Psychoacoustic evaluation of drone noise
Internship offer
Full-time
Master's degree
Between 0 and 2 years
Intern
This internship proposes to evaluate the sound perception associated with multi-copter drones to allow the development of effective noise reduction strategies and awareness actions.
Dynamic Soaring
Full-time
Based on experience
PhD
Are you passionate about aerodynamics, flight dynamics and new propulsion strategies? Join our team to explore Dynamic Soaring, a flight technique inspired by seabirds that increases the endurance of UAVs by exploiting wind gradients. This postdoctorate offers a unique opportunity to combine experimental measurements and advanced simulations to better understand and control this innovative flight strategy.
Dynamic Soaring (DS) is a flight strategy that exploits wind gradients to increase the energy of an aircraft without active propulsion. Inspired by seabirds, this technique extracts kinetic energy from wind variations, thereby improving the endurance of UAVs in flight.
This postdoctorate is part of advanced research aimed at better understanding and exploiting this strategy by combining experimental measurements and flight dynamics simulations.
Flexible Aircraft Dynamics and Control
Internship offer
Full-time
600€ / month
Master's degree
Between 0 and 2 years
Intern
The flexibility of aircraft structures plays a crucial role in the design of high-altitude, highly efficient, and long-endurance vehicles. For such configurations, the traditional assumption of a fully rigid airframe is no longer valid. This structural flexibility directly impacts flight dynamics, stability, and control design.
The internship offers the opportunity to contribute to an active research area at the intersection of aerodynamics, structures, and control, with potential applications in next-generation UAVs and high-altitude, long-endurance platforms.
Additive manufacturing of functionnally graded materials
Post-doctoral offer
Full-time
3300€ / month
PhD
Post-doctoral research assistant
In the face of accidental events (collision, crash, impact of debris, etc.) or related to the context of the mission (military or terrorist aggression, etc.), the sensitive and functional zones of land, aeronautical and space vehicles, as well as ships and submarines, require protection systems that combine ballistic performance and lightness.
For a long time, the numerical optimisation of such protection systems came up against the problem of their manufacture. This limitation has been partly overcome thanks to the ongoing development of additive manufacturing techniques, which can now be used to produce functional materials with complex architecture. Often evaluated statically or under low-speed impact, there are still gaps in the performance of these materials under high-speed impact.
The aim of this project is to use metal additive manufacturing to develop materials with gradient properties and to assess their performance in ballistic energy absorption applications.