Biologist Intern (Species-Vision Detection) — Seraph, Canggu, Bali

Seraph — Real-world systems from one of nature's most versatile plants · Seraph · On-site, Canggu, Bali · 4–6 months · Spain or Melbourne as the track after

What does it take to teach a camera to read a living mat of lemna well enough to separate growth from stress — in real water, under real weather, without lab lights that cost more than the crop returns?

That is the question Seraph exists to answer. Seraph builds real-world systems from lemna, one of nature's most versatile plants — it cleans water, feeds livestock, and can be steered toward protein and energy pathways. This is a Biologist Intern working on the species-vision detection layer. The work sits at TRL 3 — proof-of-concept, first pilot trials indoor and outdoor at controlled pH — backed by a 256-paper knowledge base across 31 research areas and a working detection system that reads a whole cultivation tray. Everyone has a degree. Almost nobody has proof. You leave with the one proof employers hire on:



a thing you built that nobody asked you to build.

What you build

You build the labeled lemna image set: whole-tray captures, pH and water-chemistry logs, growth-stage annotations, and real-weather failure cases. The detection loop that separates growth from stress — not just species and coverage — is on your bench. You run the bench experiments that tell the model what is actually true, feeding results back into the tray-reader. The validation notebook is on your hook: the record that shows why a reading is biological, not sensor drift.

The bar

A labeled dataset built outside coursework, with the failure mode named — glare, waterline reflection, an algal bloom mistaken for growth. A bench experiment another person can run without you in the room. A biological reading you can defend at the bench, not just on a slide. The judgment to catch a false positive before it teaches the model the wrong thing.

Who this is for

Curious builders

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