PhD Position in Computer Vision: The Technical University of Munich (TUM) invites applications for a fully funded PhD position in the field of computer vision, focusing on plant disease detection in soybean cultivation. This role is part of an international collaboration with the University of São Paulo, Brazil, and aims to develop AI-driven systems for agricultural advancements.
PhD Position in Computer Vision for Plant Disease Detection
Designation
PhD Candidate (m/f/d) in Computer Vision for Plant Disease Detection
Table
| Details | Information |
|---|---|
| Research Area | Computer Vision, Plant Disease Detection, Agriculture |
| Location | Technical University of Munich, Germany, and research collaboration in Brazil |
| Eligibility/Qualification | – Master’s degree in Computer Science or closely related field |
| – Strong programming skills in Python | |
| – Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) | |
| – Solid foundation in computer vision | |
| – Excellent communication skills in English | |
| – Ability to work independently as well as collaboratively | |
| – Familiarity with cloud computing and large-scale data processing (desired) | |
| – Prior experience with agricultural applications (desired) | |
| – German language skills (desired) | |
| – Publications in relevant fields (desired) |
Description
This highly interdisciplinary PhD project focuses on creating advanced computer vision techniques to improve plant health management in soybean crops. The research involves developing imaging systems, implementing machine learning algorithms for disease detection, and collaborating with leading researchers and agricultural experts. The successful candidate will also have opportunities for research-related travel to Brazil and participation in international conferences.
How to Apply
To apply for this position, please submit the following documents:
- Curriculum vitae, including a list of publications (if applicable)
- A short cover letter outlining your motivation and relevant experience
- Electronic copies of academic diplomas and employment references
Applications should be sent to malte.von.bloh@tum.de.
Last Date to Apply
15 January 2026
Earliest Starting Date: 1 March 2026
This position is suitable for disabled persons, and preference will be given to disabled applicants in case of equivalent suitability.
