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Neurotechnology / AI Intern — Defence & Autonomous Systems

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Neurotechnology / AI Intern — Defence & Autonomous Systems

NeuroDoctrine

Neurotechnology / AI Intern — Defence & Autonomous Systems

Skills

Deep LearningPythonMachine LearningAIRaspberry Pi

2 months ago

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Important information


Contract type:

Part time, Internship

Location:

Munich, Germany

Work mode:

Hybrid

Published on:

1 September 2026

What they need


NeuroDoctrine is developing the neural operating system for the next generation of defence and autonomous systems.

We build advanced brain–computer interfaces (BCIs), neurotechnology and AI systems that enable humans to interact with, monitor and control autonomous machines using neural and physiological signals.

We are looking for a highly motivated Robotics / AI / Neurotechnology Intern to join our team in Munich and work at the intersection of robotics, autonomous systems, brain–computer interfaces and human–machine interaction.

This is a hands-on technical role for someone who wants to work on technology that sits at the frontier of neuroscience, robotics and defence.

The Role

You will work closely with our technical team to develop and integrate neurotechnology with drones, robotic systems and autonomous platforms.

Your work will focus on enabling robotic and autonomous systems to receive and respond to commands generated from our brain–computer interfaces and multimodal physiological sensing systems.

Depending on your background and interests, you may work on:

  • Integrating BCI/neural interface outputs with drones and robotic systems
  • Developing software interfaces between neural signals and robotic control systems
  • Working with ROS / ROS 2, robotics middleware and autonomous systems
  • Developing control pipelines for drones and robotic platforms
  • Integrating EEG and other physiological signals with robotics
  • Processing and interpreting neural signals using Python and/or other programming languages
  • Developing real-time human–machine interaction and control systems
  • Working with computer vision, sensor fusion and multimodal data
  • Developing algorithms for autonomous navigation and robotic control
  • Testing and evaluating neural control of autonomous systems
  • Building simulation and hardware-in-the-loop environments
  • Supporting live demonstrations and experiments involving drones and robotic systems
  • Analysing latency, accuracy, robustness and human–machine interaction performance
  • Working with our team to translate experimental BCI concepts into functioning robotic systems

You will have the opportunity to work directly on real neurotechnology and autonomous systems, rather than purely theoretical projects.

About You

We are looking for someone who is technically strong, curious and excited by difficult problems at the intersection of robotics and neuroscience.

You may be studying or have recently graduated in:

  • Robotics
  • Computer Science
  • Artificial Intelligence
  • Electrical / Electronic Engineering
  • Mechanical Engineering
  • Aerospace Engineering
  • Neuroscience / Computational Neuroscience
  • Biomedical Engineering
  • Systems Engineering
  • A related technical discipline

You should have:

  • Strong programming skills, particularly Python and/or C++
  • A genuine interest in robotics and autonomous systems
  • Experience with or strong interest in drones, robotic platforms or robotic control
  • A good understanding of software development and system integration
  • Strong analytical and problem-solving skills
  • The ability to work independently and take ownership of technical problems
  • A willingness to work hands-on with hardware as well as software
  • Excellent communication skills and the ability to work in a multidisciplinary team

Particularly valuable experience

Experience with any of the following would be highly advantageous:

  • ROS / ROS 2
  • Drone control systems
  • PX4 or ArduPilot
  • MAVLink
  • NVIDIA Jetson
  • Raspberry Pi or other embedded platforms
  • Computer vision
  • Sensor fusion
  • SLAM
  • Reinforcement learning
  • Autonomous navigation
  • EEG / BCI systems
  • Signal processing
  • Machine learning / deep learning
  • Real-time systems
  • Human–robot interaction
  • Neuromorphic computing

You do not need experience in all of these areas. We are particularly interested in people with strong technical fundamentals who learn quickly.

What You Will Gain

This internship offers the opportunity to work on a genuinely interdisciplinary technology platform spanning:

Neuroscience → Brain–Computer Interfaces → AI → Robotics → Autonomous Systems → Defence

You will gain practical experience in:

  • BCI and neural signal processing
  • Robotics and autonomous systems
  • Human–machine interaction
  • AI and machine learning
  • Real-time control
  • Hardware/software integration
  • Experimental design and testing
  • Developing technology for high-stakes operational environments

You will work alongside a highly interdisciplinary team and have the opportunity to contribute directly to prototypes, experiments and demonstrations.

About NeuroDoctrine

NeuroDoctrine is building the Neural OS for high-stakes operations.

Our technology combines neural and physiological sensing with AI to create new interfaces between humans and autonomous machines — including the ability to use brain signals and multimodal human inputs to interact with and control robotic systems.

Our work sits at the intersection of neurotechnology, artificial intelligence, robotics and defence, with the ambition of fundamentally changing how humans interact with autonomous systems.

Job Types: Part-time, Internship

Pay: 900,00€ - 1.350,00€ per week

Work Location: Hybrid remote in München

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