This is a technical, maker-focused internship for curious individuals who want to contribute to AI, neuroscience, and hardware projects through hands-on building, coding, and experimentation.
About the Program
Our internships are designed for people who build — those who cross the boundary between code and circuitry, between idea and implementation.
We welcome individuals with a proven history of creative and agentic making — whether in labs, garages, workshops, or research groups. You might have designed circuits, built robots, written machine learning models, or run experiments that blur the line between software and hardware.
What matters most is curiosity, technical depth, and the drive to learn by doing.
Focus Areas
Interns at Netholabs contribute to interdisciplinary projects spanning:
Embedded systems and intelligent devices
Machine learning, reinforcement learning, and control
Computational neuroscience and brain-inspired algorithms
Experimental automation and mechatronic prototyping
AI safety, interpretability, and cognitive transparency
Who We're Looking For
We’re less interested in titles and more in what you’ve built. Maybe you’ve assembled a robotic system from scratch, trained your own transformer models, or created software tools for research. You’ve probably worked both inside and outside academia — following your curiosity wherever it leads.
You’re driven by a sense of agency — the desire to understand and to make, not just to follow instructions. You want to work at the intersection of neuroscience, AI, and hardware, contributing to technologies that extend human understanding and capability.
How to apply
Apply directly through the company website. Clicking the link below will open the application page in a new window.
NetholabsLocation: London, UK
Industry: Science
Netholabs is a startup dedicated to pioneering ethology and whole-brain functional recording neuroscience research. Our goal is to create whole-brain functional dynamics models, such as whole-brain-emulators (WBEs). Towards this goal, we are generating large-scale neural-behavioral datasets using advanced mouse neural recordings systems and large scale ethology-focused behavior arenas.
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