Constructor University and Constructor Labs are joining the Machine Learning for Microscopy Hackathon 3 — a global, hybrid sprint where students, researchers, and industry hackers turn real experimental data into working science.
What we’re bringing:
• A Bremen on-site hub — hack shoulder-to-shoulder with our campus and the regional research community (free food, mentors, lab energy).
• A real scientific challenge from Constructor Labs — not a toy dataset — with a €2,000 prize for the winning solution.
• The mentor who knows the territory: Prof. Dr. Andrey Ustyuzhanin, Principal Investigator at Constructor Knowledge Labs and Adjunct Professor of Computer Science at Constructor University Bremen. His focus is agentic AI for scientific workflows, so bring him your toughest pipeline question.
One weekend, global teams — pair up across continents, learn from microscopy + ML specialists, ship something that outlives the hackathon (open-source + paper track).
No microscopy PhD required — if you can code, model, or wrangle data, there’s a seat.
Dec 15–17, 2026
Bremen + worldwide (hybrid)
€2,000 prize
Free
Full details, challenges & registration: https://kaliningroup.github.io/mic_hackathon_3/
