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Project Acoudrone : Towards Silent Drones

Working Time

Full-time

Degree

PhD

Installed propeller acoustics via Body Force Modeling

Working Time

Full-time

Degree

PhD

Role

Post-doctoral student

International Relations Intern

Reference

N/A

Working Time

Full-time

Compensation

According to current legislation

Degree

Master's degree

Experience

Between 0 and 2 years

Role

Intern

Application Deadline

15/02/2026

Within ISAE-SUPAERO, the International Relations department has the following responsibilities:

  • Proposing and managing international relations policy;
  • Representing ISAE-SUPAERO within international networks and participating in their management;
  • Drawing up, negotiating and managing international cooperation and academic exchange agreements with ISAE-SUPAERO’s partner universities and organisations, in conjunction with the Training Department;
  • Promote and facilitate incoming and outgoing mobility for students, lecturers and researchers, in support of the Training Department and the DRRP;
  • Managing funding for the outgoing mobility of students and staff.

Among the department’s activities, the trainee will be particularly involved in the Aerospace Summer Programme. This is a summer programme that welcomes around twenty foreign students and is organised every year by the schools in the ISAE group (a network of aeronautical and space engineering schools). The programme lasts six weeks, 3 of which are spent at the Institute.

Short programmes 2026: Aerospace Summer Programme

  • Contribute to the organisation of the 2026 event (in particular Welcome Guide/Pre-Departure Webinar)
  • Help welcome and monitor students when they come to campus (3 weeks in June/July)
  • Contribute to the communication of the short programmes (brochure and video)

Participate in the development of promotional tools for the Double Diploma

(incoming and outgoing mobility) in collaboration with the Mobility Department

Additional tasks:

  • Help update information about partner universities
  • Participate in setting up new collaborations with Morocco in collaboration with the ISAE Group schools

Computer Vision and Sequential Decision Making for Plant Cultivation in Bioregenerative Life Support Systems

Reference

N/A

Working Time

Full-time

Degree

Master's degree

Experience

Between 0 and 2 years

Application Deadline

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

Contract Type

PhD offer

Working Time

Full-time

Compensation

4,35/hour

Role

Intern, PhD student

Reinforcement Learning from Human Feedback (RLHF) for Human–AI Collaboration

Contract Type

Internship offer

Working Time

Full-time

Compensation

4.35€ / hour

Role

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

Contract Type

Internship offer

Working Time

Full-time

Degree

Master's degree

Experience

Between 0 and 2 years

Role

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

Contract Type

Internship offer

Working Time

Full-time

Degree

Master's degree

Experience

Between 0 and 2 years

Role

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

Working Time

Full-time

Compensation

Based on experience

Degree

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.

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