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
Context: The PhenoMix project addresses the critical challenge of automated phenotyping for crop mixtures...
Job description
The postdoc will develop and implement cutting-edge machine learning approaches for automated trait estimation, focusing on: Foundation Models for Phenotyping, Domain Transfer Methods, 3D Reconstruction and Rendering, Human-in-the-Loop Approaches, Field Evaluation, Data Product Generation, Software Development.
Research and Development: Design, develop and implement foundation model-based approaches...
Collaboration and Scientific Communication: Process and help curating large-scale multi-modal datasets...
Profile
Education: PhD in relevant field such as computer science, machine learning, data science...
Technical and Research Expertise: Strong background in machine learning and deep learning...
We offer
Professional Development: A stimulating, collaborative, diverse and cross-disciplinary research environment...
Starting Date and Duration: Starting date: August or by mutual agreement. Duration: Up to 4 years (SNSF project funding duration)
