PhD Opportunity 2026 | Privacy for Crop Breeding at TU Delft

PhD Opportunity 2026 | Privacy for Crop Breeding at TU Delft

Delft University of Technology (TU Delft) invites applications for a fully funded PhD position in Privacy for Crop Breeding. This interdisciplinary research opportunity combines Artificial Intelligence, Bioinformatics, Privacy-Preserving Machine Learning, and Plant Genomics to develop secure AI models for next-generation crop breeding in collaboration with KeyGene.

Position Overview

About the Project

Modern crop breeding increasingly relies on genome sequence models to accelerate plant improvement. However, AI models trained on sensitive genomic datasets may unintentionally memorize and reproduce parts of their training data, creating privacy risks for commercially valuable breeding information.

This PhD project aims to characterize, quantify, and mitigate memorization risks in sequence models, ensuring privacy while maintaining high-performance AI systems for crop breeding. The research will bridge machine learning, computational biology, and privacy-preserving AI to develop practical solutions for secure genomic data analysis.

Research Responsibilities

The selected PhD researcher will:

• Investigate privacy risks in genome sequence models used for crop breeding.

• Develop methods to quantify memorization and data leakage in AI models.

• Design privacy-preserving machine learning techniques for genomic datasets.

• Study how plant genome characteristics influence model memorization behavior.

• Translate research findings into practical guidelines for secure crop breeding applications.

• Collaborate with researchers at TU Delft and industry partner KeyGene.

Research Focus Areas

The project includes research in:

• Artificial Intelligence

• Privacy-Preserving Machine Learning

• Bioinformatics

• Computational Biology

• Plant Genomics

• Genome Sequence Modelling

• Data Privacy

• Pattern Recognition

• Secure AI Systems

• Crop Breeding Technologies

Eligibility Criteria

Applicants should possess:

• A Master's degree (or equivalent) in Computer Science.

• Strong interest in Biology, with a biology-related background considered an advantage.

• Strong computational skills in model development, implementation, and testing.

• Experience through coursework or projects in Bioinformatics.

• Excellent written and spoken English communication skills.

• Enthusiasm for interdisciplinary research, collaboration, and continuous learning.

• Interest in teaching or supervising students is considered beneficial.

Why Join TU Delft?

This PhD position offers the opportunity to:

• Conduct cutting-edge research at the intersection of AI, privacy, and agricultural biotechnology.

• Collaborate with KeyGene, a leading research company in crop innovation.

• Work in the Pattern Recognition and Bioinformatics Section within TU Delft's INSY Department.

• Access world-class research facilities and an internationally recognized AI research environment.

• Contribute to secure and trustworthy AI technologies for sustainable agriculture and food security.

How to Apply

Interested candidates should submit their application through the official TU Delft careers portal, along with all required academic documents and supporting materials specified in the official vacancy announcement.

About TU Delft

Delft University of Technology (TU Delft) is one of Europe's leading technical universities, globally recognized for excellence in engineering, artificial intelligence, data science, and interdisciplinary research. Through collaborations with industry and international research partners, TU Delft develops innovative technologies that address global challenges in sustainability, digital innovation, agriculture, and healthcare.

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