We invite applications for PhD positions focused on the innovation potential at the intersection of computer vision, robotics, and model predictive control within the domain of precision agriculture. This research will explore novel, robust, and cost-effective autonomous systems capable of operating with minimal human intervention in real-world agricultural environments. Candidates will investigate how the synergistic integration of perception, control, and decision-making can improve tasks such as crop monitoring, weeding, harvesting, and resource management. The ideal solutions must prioritize affordability and resilience while pushing the boundaries of autonomy to support sustainable and scalable agricultural practices.