Drone Vision Internship: Master Autonomous Chase

TNO; Den Haag; On-site; EUR 7,300 - 11,000; Full time

Job summary

TNO is offering a Master’s internship focused on teaching drones to autonomously chase moving targets using a vision‑language‑action model. You will work with simulation tools, build a planner that leverages 3D scene knowledge, and train models using only camera inputs.

The role blends software, ML research, and robotics in a hands‑on environment. You’ll gain experience with Isaac Sim or AirSim, develop demonstrations from a privileged planner, and contribute to autonomous drone perception and

Qualifications

• Open to Master’s students in AI/CS/Robotics with strong ML background.
• Solid Python skills and willingness to work hands-on in research.
• Experience with deep learning frameworks, simulation, or RL/IL is a plus.

Responsibilities

• Set up a simulated environment with a drone and moving targets.
• Develop or configure a planner using 3D scene knowledge to generate demonstrations.
• Train and evaluate a vision–language–action model using camera inputs only.
• Code, run simulations, debug, and iterate on demonstrations and training setups.

Skills

Python

Deep learning (PyTorch)

Simulation environments

Reinforcement learning

Imitation learning

Computer vision

Education

Master's degree in AI/CS/Robotics

Tools

PyTorch

Isaac Sim

AirSim

Job description

TNO is offering a Master’s internship focused on teaching drones to autonomously chase moving targets using a vision‑language‑action model. You will work with simulation tools, build a planner that leverages 3D scene knowledge, and train models using only camera inputs.

The role blends software, ML research, and robotics in a hands‑on environment. You’ll gain experience with Isaac Sim or AirSim, develop demonstrations from a privileged planner, and contribute to autonomous drone perception and