Postdoc in Computer Vision and Embodied AI (Agricultural Robotics)

Job summary

Two Postdoc positions are available focusing on AI-based perception and autonomous mobile robot navigation for agriculture. The roles involve developing solutions for agricultural robots to operate safely in real-world conditions, contributing to projects funded by the EU and Novo Nordisk Foundation.

Qualifications

• PhD degree (or equivalent) in computer science, electrical engineering, robotics, or a closely related field.
• Strong background in computer vision and machine learning with a proven publication record in top-tier venues.
• Expertise in at least one or two core research areas such as 3D point cloud processing or embodied AI.
• Proficiency in Python and/or C++ and experience with deep learning frameworks like PyTorch.
• Familiarity with development tools such as Linux, Git, and Docker.
• Ability to work effectively in interdisciplinary teams.

Responsibilities

• Conduct independent and collaborative research in 3D perception, spatial reasoning, and autonomous navigation.
• Implement perception and navigation algorithms for real-time operation on mobile robots.
• Publish research findings in leading international venues.
• Mentor and co-supervise PhD, MSc, and BSc students.
• Participate in field experiments to validate robotic solutions under real agricultural conditions.

Skills

• Multi-Modal Sensor Fusion & 3D Scene Understanding.
• Modular Autonomy Architectures & Trajectory Optimization.
• Foundation Models for semantic reasoning and predictive planning.
• Robust Perception algorithms for adaptability to environmental changes.

Education

• PhD degree in a relevant field.

Tools

• Python, C++, PyTorch, Linux, Git, Docker.