PhD Position in Plant Resilience: This scholarship opportunity invites highly motivated candidates to apply for a PhD position focused on developing AI tools to investigate the molecular basis of growth and stress resilience in plants. The research will utilize cutting-edge data analysis and machine learning techniques as part of a collaborative effort to enhance agricultural resilience.
PhD Position in Plant Resilience Through AI
Designation
PhD Candidate in Plant Science and Artificial Intelligence
| Field | Details |
|---|---|
| Research Area | Plant Resilience, Machine Learning, Systems Biology |
| Location | Delft University of Technology, Netherlands |
| Eligibility/Qualification | Master’s degree in Computer Science, AI, Computational Biology, or related fields |
Description
The selected candidate will collaborate with an interdisciplinary research team to develop computational models that analyze growth-stress trade-offs in plants. Key tasks include integrating multi-omics datasets, creating hybrid modeling strategies, and collaborating with both computational modelers and experimental plant biologists.
Key Responsibilities:
- Develop and validate machine learning models to simulate plant responses to environmental stresses.
- Integrate various biological data types, including RNA-seq and protein interaction profiles.
- Propose innovative experiments to iteratively enhance model performance.
Benefits:
- Access to state-of-the-art facilities.
- Opportunities for professional development and participation in international conferences.
- Work within a dynamic, collaborative research environment.
How to Apply
Interested applicants must submit the following documents via the online application portal:
- An updated CV
- Copies of relevant academic transcripts
- A cover letter detailing motivation, project interest, and suitability for the position
- Contact information for at least two academic references.
Last Date for Application
August 24, 2025
