Chalmers University of Technology in Gothenburg, Sweden, invites applications for a fully funded doctoral student position in automation of in-plant logistics. The successful candidate will join the Division of Supply and Operations Management at the Department of Technology Management and Economics, engaging in a research project that integrates cutting-edge technology and industrial applications within leading manufacturing companies. The division is renowned for its research in logistics and supply chain management, covering areas such as purchasing, business networks, supply chain strategy, operations planning and control, material handling, and freight transport. Digitalisation, circularity, and resilience are key drivers in both research and education, which span bachelor, master, and doctoral levels. The division emphasizes empirical research in close collaboration with industry partners. The doctoral research project centers on data-driven, automated in-plant logistics, utilizing AGVs (Automated Guided Vehicles) and AMRs (Autonomous Mobile Robots). The aim is to develop knowledge supporting the planning, implementation, operational management, and adaptation of AGV/AMR systems from a logistics perspective. The project involves close cooperation with manufacturing companies seeking to advance their logistics processes and technology providers specializing in sensors and artificial intelligence for data capture and analysis. As a doctoral student, you will develop scientific concepts, conduct literature reviews, design research plans, and perform empirical studies. You will contribute to scientific articles forming the basis of your doctoral thesis and collaborate with various industrial stakeholders. Advanced courses within the Graduate School of Technology Management and Economics are part of the program, and teaching or other duties may comprise up to 20% of your working hours. The position is fully funded for four years, with a starting salary of 34,550 SEK per month (from May 25, 2025), and may be extended to five years with teaching duties. Chalmers offers a dynamic and inspiring work environment, comprehensive employee benefits, and support for international staff, including Swedish language courses. The university is committed to gender balance, equality, and inclusion, with initiatives such as the GENIE project. Eligibility requires a master's degree (120 credits) or magisterexamen (60 credits) in logistics & supply chain management, operations management, production engineering, or equivalent. For international applicants, a 4-year Bachelor’s degree is accepted. Strong English communication skills and a keen interest in in-plant logistics are essential. Experience with automation technologies, digital tools, multi-stakeholder interactions, and industry experience are advantageous. Physical presence in Sweden is required, and a valid residence permit must be presented by the start date. Applications must be submitted in English as PDF files via the online application form. Required documents include a CV, personal letter, introduction, motivation, thesis, and transcripts. Incomplete applications and those sent by email will not be considered. References will be requested after the interview. The application deadline is February 1, 2026. For further information, contact Associate Professor Robin Hanson at [email protected].

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.