Summary
The Swiss Data Science Center (SDSC), in collaboration with ETH Zurich’s Crop Science Group, seeks a Postdoctoral Researcher for the PhenoMix Project. This role focuses on developing automated trait estimation methods using machine learning, aimed at advancing crop mixture phenotyping for sustainable agriculture.
Postdoctoral Position in Machine Learning for Automated Plant Phenotyping (PhenoMix Project) Zurich, Switzerland
Designation
Postdoctoral Researcher – Machine Learning for Automated Plant Phenotyping
Table
| Details | Information |
|---|---|
| Research Area | Machine Learning, Computer Vision, Agricultural Sciences |
| Location | Zurich, Switzerland |
| Eligibility/Qualification | PhD in relevant field (Computer Science, Machine Learning, etc.) |
| Job Duration | Up to 4 years (SNSF project funding) |
| Starting Date | August or by mutual agreement |
Job Description
Responsibilities:
- Develop and implement cutting-edge machine learning approaches for automated trait estimation.
- Design foundation models tailored for phenotyping.
- Extend domain-specific machine learning models for cross-platform phenotyping.
- Conduct field experiments and rigorously evaluate model performance.
- Collaborate with interdisciplinary teams and engage with diverse stakeholders.
Key Tasks:
- Prepare and curate multi-modal datasets.
- Develop software and maintain reproducible codebases.
- Supervise students and contribute to scientific publications.
- Present research at conferences and communicate findings to general audiences.
How to Apply
Interested candidates should submit the following documents:
- Letter of Motivation (max 2 pages)
- Curriculum Vitae including publication list
- Electronic copies of relevant academic diplomas, transcripts, and certificates
- Contact details for 2-3 references
- Links to code repositories or portfolios (if available)
Applications must be submitted through the online application portal.
Last Date for Apply
Open Now
