PhD Position (m / f / d) in Computer Vision for Plant Disease Detection

PhD Position (m / f / d) in Computer Vision for Plant Disease Detection

17.12., Wissenschaftliches Personal

We are seeking a highly motivated PhD student to join an international research collaboration between the Chair of Digital Agriculture (TUM) and the University of São Paulo, Brazil. This position focuses on developing advanced computer vision methods and hardware setup for detecting and predicting plant diseases in soybean cultivation.

About Us

The Chair of Digital Agriculture is engaged in simulation models of plant stands to improve plant system understanding and its control and optimization. Our research links Artificial Intelligence methods to topics in agriculture

and spans many scales from field to global.

Project Description

Soybean is a critical crop for global food security and agricultural economies. This research project aims to develop

AI-driven computer vision systems that can accurately identify plant diseases and predict plant health in soybean

crops, enabling early intervention and improved crop management. You will work on developing the imaging

system as well as novel machine learning approaches for image analysis and disease classification using field data

from German and Brazilian agricultural trials.

Responsibilities

• Design the imaging system for generating image datasets from agricultural machines
• Develop and implement computer vision algorithms for plant disease detection and health estimation in soybeans

Design and train deep learning models using agricultural image datasets

Collaborate with researchers at the University of São Paulo and agricultural domain experts

Required Qualifications

Master’s degree in computer science, or a closely related field

Strong programming skills in Python and experience with deep learning frameworks (PyTorch, TensorFlow, or

similar)

Solid foundation in computer vision and image processing techniques

Excellent written and oral communication skills in English

Ability to work independently and as part of an international team

Desired Qualifications

Familiarity with cloud computing platforms and large-scale data processing

German language skills

Publications in computer vision or machine learning venues

We Offer

A fully funded PhD position for 3 years (TV-L E13)

Opportunity to work on real-world agricultural challenges with significant impact

International research collaboration with leading institutions

Research-related trips to Brazil and international conferences

Supportive research environment with experienced supervisors

Application Materials

Please submit the following documents :

Curriculum vitae, including a list of publications (if applicable)

Electronic copies of academic diplomas and relevant employment references

Application Deadline

15 January

Earliest Starting Date

1 March

The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance.

Data Protection Information :

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