PhD position on AI for Collaborative Work in Blue-Collar Environments

This PhD position focuses on the application of artificial intelligence (AI) to enhance collaborative work specifically within blue-collar environments. Candidates should possess a strong foundation in AI, including machine learning, computer vision, natural language processing, or related subfields, with an emphasis on practical deployment in real-world industrial or manual work settings. Understanding of human-robot interaction, collaborative robotics, or multi-agent systems is highly relevant, as the role involves developing AI solutions that facilitate teamwork between humans and machines in physically demanding or manual labor contexts. Familiarity with sensor technologies, data acquisition methods, and real-time processing is advantageous to effectively model and support dynamic work environments. The position requires research skills in designing, implementing, and evaluating AI models and systems with a focus on usability, safety, and efficiency in blue-collar tasks. Strong analytical abilities and experience with programming languages commonly used in AI research, such as Python, and frameworks like TensorFlow or PyTorch, are beneficial. Candidates should demonstrate the capacity to work independently and collaboratively in interdisciplinary teams, potentially involving industrial partners or domain experts in blue-collar trades. The role is suitable for candidates with a relevant master's degree or equivalent in computer science, engineering, or related fields, with a keen interest in applying AI to improve occupational workflows and worker collaboration in manual labor sectors.