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

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

100%, Zurich, fixed-term

The Swiss Data Science Center (SDSC) is a national research infrastructure in data science and artificial intelligence (AI) of the ETH domain, with EPFL and ETH Zurich as founding partners. ...

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)