AI Research Residency – visiting scholar

Maincode is an applied AI lab building systems that move humans forward.

We believe the next frontier of intelligence isn’t about automation. It’s about amplification. We're developing systems that help people make better decisions by reducing mental friction, surfacing relevant context, and offering meaningful, value-aligned choices.

We call this augmented decision intelligence. And it’s inherently multidisciplinary.

We bring together researchers from fields like neuroscience, systems engineering, linguistics, cognitive science, and design, united by a shared focus: building AI that collaborates with human judgement, rather than replacing it.

This residency offers a unique opportunity for individuals deeply engaged in their respective fields to immerse themselves in AI research. As a visiting scholar at Maincode, you will collaborate within a research pod composed of AI Research Scientists, Systems Engineers, and Design Engineers. Together, you will explore how your domain expertise can inform and shape the development of AI systems that enhance human decision-making.

Engage in interdisciplinary research projects that intersect your field of expertise with AI

Collaborate with a diverse team to design, prototype, and evaluate AI systems

Contribute to the development of systems that prioritise human agency and understanding

Share insights through presentations, publications, or internal knowledge-sharing sessions

You have a strong academic background (PhD or equivalent experience) in a field such as neuroscience, linguistics, cognitive science, systems engineering, or related disciplines