Clear pathway
Research, development, thesis, volunteer, and collaboration pathways are separated so applicants can choose the right entry point.
HUMACH welcomes motivated students, developers, early researchers, and partners who want to learn, build, publish, and contribute to human-centered machine intelligence.
Internship, thesis, volunteer, and collaboration pathways are organised into one browsable directory.
The goal is not only to assign tasks, but to guide contributors toward portfolio-ready work: a research summary, an experiment, a dashboard, a prototype, a documentation contribution, a publication-support task, or a collaboration concept.
Research, development, thesis, volunteer, and collaboration pathways are separated so applicants can choose the right entry point.
Each pathway should move through practical milestones instead of vague participation.
Outputs should be visible through reports, code, figures, documentation, prototypes, or publication support.
Students, researchers, developers, and partners can contribute at different levels depending on readiness and project fit.
Join, Learn, Build, Publish
For students interested in web systems, dashboards, automation tools, databases, and AI prototypes.
For students interested in AI, data science, biomedical AI, NLP, or applied computing research.
From Expression of Interest to Visible Output
Submit the form with your interests, skills, and preferred pathway.
Your background is matched with a research, development, thesis, volunteer, or collaboration direction.
Milestones are defined so the work is practical, measurable, and suitable for your level.
You produce evidence such as reports, code, dashboards, figures, prototypes, or writing support.
What Contributors Can Learn and Practice
Choose the pathway closest to your current goal: research, development, thesis/project supervision, volunteer support, or collaboration.