Project L3145: Carbon- and Compute-Efficient Agentic AI for Warehouse Optimisation

This PhD position at the University of Lincoln focuses on Modern Agentic AI, which integrates Large Language Models (LLMs), Visual-Language Models (VLMs), and Vision-Language-Action Models (VLAs) to enable advanced reasoning, perception, and action within dynamic environments. The research aims to push the boundaries of artificial intelligence by combining multimodal models that can understand and interact with the world in a more human-like manner. Students will explore the theoretical foundations and practical implementations of agentic AI, working on projects that may involve developing new architectures, training models on diverse datasets, and evaluating their performance in real-world scenarios. The position is ideal for candidates interested in cutting-edge AI research, particularly those with backgrounds in computer science, cognitive science, or related fields. The University of Lincoln provides a collaborative research environment with access to state-of-the-art resources and expertise in AI and machine learning. Funding details and specific entry requirements are not provided in the current description. Interested applicants should monitor the university's website for updates regarding application procedures and deadlines.