Up to 30% off — ends 7 Aug
ONLY00h00m00s
Up to 30% off — ends 7 Aug
ONLY00h00m00s
Lazaros Nalpantidis
11 months ago
This position has expired. You can browse more openings on our positions listing pages.
Robotics, Computer Vision, AI DTU - Technical University of Denmark in Denmark
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
Expired
Country
Denmark
University
Technical University of Denmark
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More information can be found here
Keywords
About this position
Are you passionate about using AI, Computer Vision, and Robotics to make agriculture more sustainable? DTU Electro is offering two fully funded PhD positions.
?? Your research will focus on:
• Sensor fusion and multimodal AI for robotic perception
• Self-supervised learning for agricultural pre-trained models
• 3D canopy modeling and plant growth dynamics
• Anomaly detection beyond RGB
?? These technologies will enable autonomous robots to support sustainable farming practices like intercropping—boosting biodiversity and reducing pesticide use.
?? You’ll join the Perception and Cognition for Autonomous Systems Group (PCAS) at DTU, collaborate with top researchers from Denmark and the Netherlands, and contribute to real-world field testing.
?? Ideal candidates hold a Master’s degree in Robotics, Electrical Engineering, Computer Science, or similar, and have experience in machine learning, computer vision, or sensor technologies.
?? Learn more and apply here: https://lnkd.in/ezJgxQJP
Let’s build a smarter, greener future together. ??
PhD DTU Robotics ComputerVision AI SustainableAgriculture AutonomousSystems ResearchOpportunity MachineLearning Agritech UNSDGs
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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