PhD Scholarships in Agriculture Robots: Join DTU Electro in advancing sustainable agricultural practices through the development of autonomous robots. This PhD scholarship focuses on innovative sensor systems and perception algorithms that aim to enhance agricultural efficiency and biodiversity.
Designation
PhD Student
Research Area
- Machine Learning
- Computer Vision
- Robotics
- Agricultural Technology
Location
Kgs. Lyngby, Denmark
Eligibility/Qualification
- Must hold a two-year master’s degree (120 ECTS points) in Robotics, Electrical Engineering, Computer Science, or an equivalent field.
- Specialization in machine learning, computer vision, or robotic perception is an advantage.
- Experience with sensor fusion techniques and various sensor technologies is a plus.
- Familiarity with open-source tools for machine learning, computer vision, or robotics will be beneficial.
Job Description
- Conduct research in advanced sensor fusion and multimodal AI models for robotic intercropping.
- Engage in deep learning and 2D/3D computer vision research.
- Participate in the integration and field testing of autonomous robotic platforms.
- Publish scientific papers and present findings at international conferences.
- Enhance teaching skills through experience as a teaching assistant.
How to Apply
Interested candidates must submit a complete online application by following these steps:
- Prepare a single PDF file containing the following:
- A cover letter.
- Curriculum vitae.
- Grade transcripts and BSc/MSc diploma (in English), including an official description of the grading scale.
- Submit the application through the “Apply now” link on the DTU website.
Last Date for Application
August 27, 2025 (23:59 Danish time)
