Chalmers University of Technology is offering an exciting PhD position in a new research project focused on data-driven, automated in-plant logistics. The project aims to collaborate closely with manufacturing firms seeking to enhance their logistics processes and with technology providers specializing in enabling solutions such as sensors and artificial intelligence for data capture and analysis. This opportunity is ideal for candidates interested in the intersection of manufacturing, automation, and advanced data analytics.

The research will address challenges in optimizing in-plant logistics using state-of-the-art technologies, including AI and sensor-based systems. The successful candidate will work under the supervision of Associate Professor Robin Hanson, engaging with both academic and industry partners to develop innovative solutions for real-world logistics problems.

Applicants should have a strong background in computer science, mechanical engineering, industrial engineering, or related fields. Experience or a keen interest in data-driven methods, automation, AI, or logistics is highly desirable. The announcement does not specify detailed entry requirements, funding details, or application deadlines, so candidates are encouraged to review the LinkedIn post for further information and to follow up with the supervisor or university for application procedures.

This position offers a unique opportunity to contribute to cutting-edge research at a leading Swedish technical university, with the potential for significant impact in the manufacturing and technology sectors.