Lazaros Nalpantidis

The Technical University of Denmark (DTU) is offering two fully funded PhD positions in the Perception and Cognition for Autonomous Systems (PCAS) group, focusing on perception for sustainable agriculture robots. The research will center on sensor fusion and multimodal AI for robotic perception, self-supervised learning for agricultural pre-trained models, 3D canopy modeling and plant growth dynamics, and anomaly detection beyond RGB. These technologies aim to enable autonomous robots to support sustainable farming practices such as intercropping, boosting biodiversity, and reducing pesticide use. Successful candidates will join a collaborative research environment, working with leading experts from Denmark and the Netherlands, and participate in real-world field testing. Applicants should hold a Master’s degree in Robotics, Electrical Engineering, Computer Science, or a related field, and have experience in machine learning, computer vision, or sensor technologies. The positions are fully funded, covering tuition and providing a stipend. The application deadline is August 1, 2024. Interested candidates should apply via the DTU job portal at https://lnkd.in/ezJgxQJP.

DTU Electro at the Technical University of Denmark is opening 2 postdoc positions in Computer Vision and Embodied AI for Autonomous Agricultural Robotics . The positions sit in the Perception and Cognition for Autonomous Systems (PCAS) group led by Lazaros Nalpantidis , Professor of Autonomous Systems and Head of Group. The research is centered on robotics , computer vision , machine learning , visual perception , multi-modal sensor fusion , 3D scene understanding , autonomous navigation , and embodied AI . The post highlights work on AI-based perception and autonomous mobile robot navigation for agriculture, with links to flagship projects such as AgroBoost and Robotic Intercropping (RIC) . Research topics mentioned include multi-modal sensor fusion & 3D scene understanding using RGB, LiDAR, stereo, and multi-spectral data; modular autonomy architectures & trajectory optimization ; foundation models including VLMs , VLAs , and WAMs ; and robust perception in the wild for complex agricultural environments. The group aims to develop solutions that support sustainable agriculture, biodiversity, and reduced chemical inputs. Applicants should have a PhD or equivalent in computer science, electrical engineering, robotics, or a closely related field, plus a strong publication record and solid programming/deep learning skills. Experience with Python/C++ , PyTorch , Linux , Git , and Docker is emphasized. The role involves independent and collaborative research, publishing in top venues such as CVPR, ICCV, ECCV, NeurIPS, ICRA, IROS, and ICLR , mentoring students, and participating in field experiments in a living lab. This is a postdoc job opening , not a scholarship. No deadline, salary, or formal application portal is provided in the post. Interested candidates are asked to email their CV and motivation letter to [email protected] for an informal inquiry.