Postdoctoral Position in Machine Learning for Automated Plant Phenotyping (PhenoMix Project)

Postdoctoral Position in Machine Learning for Automated Plant Phenotyping (PhenoMix Project)

The Swiss Data Science Center (SDSC) and the ETH Zurich’s Crop Science Group are seeking a Postdoctoral Researcher for the PhenoMix project, a Swiss National Science Foundation (SNSF) funded initiative.

Project background

The PhenoMix project addresses the critical challenge of automated phenotyping for crop mixtures, leveraging the Field Imaging Platform (FIP) and field experiments to generate unprecedented multi‑modal datasets of pure stands and crop mixtures.

The postdoctoral researcher will create novel data science tools and automate processing of image time series, plant trait information, and 3D reconstructions, bridging advanced machine learning methods with practical agricultural applications.

Responsibilities and Research Focus

• Foundation Models for Phenotyping: adapt pre‑trained foundation models for crop trait estimat...