Magnus Wiktorsson

KTH Royal Institute of Technology invites applications for a fully funded PhD position in Production Engineering, focusing on the modelling of production systems for trustworthy, adaptive, and human-centric manufacturing. The research aims to advance digital-twin-based frameworks for production and logistics, enabling improved analysis, simulation, and data-driven decision-making in complex industrial environments. The project sits at the intersection of manufacturing systems, digitalization, multimodal data, and artificial intelligence, offering a unique opportunity to contribute to the future of sustainable and digitalized industry. The doctoral student will join the Production Logistics research group at KTH and collaborate closely with leading industrial and international partners. The project is co-funded by KTH through its international doctoral collaboration strategy and forms part of a strategic partnership with Nanyang Technological University (NTU) in Singapore. The student will spend a total of one year at NTU, which may be divided into shorter stays, gaining valuable global research experience with partners in Sweden, South Korea, Singapore, the United States, and Taiwan. Supervision will be provided by Professor Magnus Wiktorsson (main supervisor), Assistant Professor Yongkuk Jeong (co-supervisor), and Associate Professor Seung Ki Moon from NTU (co-supervisor). The position offers a strong international research environment, attractive employee benefits, and a monthly salary according to KTH's doctoral student salary agreement. Applicants must hold a second cycle degree (e.g., a master's degree) or have completed at least 240 higher education credits, with at least 60 at the second-cycle level, or possess equivalent knowledge. A M.Sc. in Production Engineering, Mechanical Engineering, Industrial Engineering, Computer Science, or a related discipline is expected. English proficiency equivalent to English B/6 is mandatory. Candidates should demonstrate skills in modelling and simulation (preferably multi-method), knowledge in AI and digital twins, scientific writing, and the ability to work independently and collaboratively. Personal skills such as goal orientation, perseverance, and professionalism are emphasized. Applications must include certified copies of diplomas, transcripts, proof of language proficiency, CV, application letter, and representative publications. All documents should be submitted in English or Swedish, with translations if necessary. The application deadline is 30 April 2026. For further details and to apply, visit the official application link.

The Department of Production Engineering at KTH Royal Institute of Technology is recruiting four PhD students for research in sustainable, digital, and advanced manufacturing. Two highlighted positions are: (1) Doctoral student in machining with a focus on process and functional surfaces, and (2) Doctoral student in Production Systems Modelling, in collaboration with Nanyang Technological University (NTU), Singapore. The machining position focuses on advanced component manufacturing, high-precision machining, process optimisation, and functional surface characterisation. Research activities include experimental metrology, high-resolution sensor data analysis, process modelling, simulation, and data-driven methods. The student will join the Manufacturing and Metrology Systems unit and the Precision Engineering and Metrology (PEM) group, working closely with industry partners through Centre X. The Production Systems Modelling position advances digital-twin-based frameworks for production and logistics, enabling improved analysis, simulation, and data-driven decision-making in complex industrial environments. The project is part of a strategic partnership with NTU, and the student will spend up to one year at NTU. Research areas include manufacturing systems, digitalization, multimodal data, and AI. The student will join the Production Logistics research group and collaborate with partners in Sweden, South Korea, Singapore, the US, and Taiwan. Applicants must have a relevant master's degree or equivalent, strong English skills, and a background in mechanical, production, or industrial engineering, or computer science. Experience in control systems, metrology, machine tools, modelling, simulation, AI, or digital twins is beneficial. The positions are fully funded, with monthly salary and employee benefits according to KTH’s doctoral student salary agreement. Employment is full-time for up to four years, with opportunities for international research collaboration and a dynamic, interdisciplinary environment. Application requires certified diplomas, transcripts, proof of language proficiency, CV, application letter, and relevant publications. The deadline for applications is 30 April 2026. For more information and to apply, visit the KTH job portal.

KTH Royal Institute of Technology is recruiting a Postdoc in Production Management focused on AI, machine learning, sustainable production, resilient production systems, and circular manufacturing . The position sits in the Department of Production Engineering within Industrial Production at KTH and is connected to the XPRES Excellence Centre of Production Research and the Vinnova-funded BATT:RY project on sustainable and circular battery value chains. The research agenda includes how AI can support production planning, coordination of material flows, uncertainty management, and decision-making in complex industrial environments where human decision-makers remain central. The role also involves work on circular manufacturing systems such as remanufacturing, recycling, and reverse logistics, with collaboration across academic and industrial partners. Applicants should hold a doctoral degree or equivalent foreign degree by the time of the employment decision. The ad asks for documented research expertise, publication ability in international journals, and a strong background in production and operations management, sustainable production, industrial and systems engineering, or related areas. Experience with data science, AI, machine learning, simulation, production planning, operational performance management, and optimization is preferred. The appointment is a temporary full-time postdoctoral position for up to two years with monthly salary. The post may also include teaching at basic, advanced, and postgraduate levels. To apply, use KTH’s recruitment system and submit a complete application with CV, publication list, diplomas and grades, translations if needed, and a short statement of research interests and motivation. The deadline is 17 June 2026 .

KTH Royal Institute of Technology is advertising three postdoctoral positions in the Department of Production Engineering. These openings are centered on sustainable manufacturing and related research areas, with each postdoc offering a distinct project within broader collaboration frameworks. The three topics are: • Postdoc in Digital & Sustainable Production Logistics • Postdoc in Circular Manufacturing Systems • Postdoc in Precision Manufacturing for Solid-State Batteries These roles are especially relevant for researchers with backgrounds in mechanical engineering , industrial engineering , materials science , and sustainability-oriented manufacturing research. The battery-focused position may also appeal to candidates working at the interface of manufacturing and advanced materials. The post is shared by Magnus Wiktorsson , Professor and Head of Department at KTH Royal Institute of Technology. The announcement emphasizes collaboration and the chance to contribute to the future of sustainable manufacturing. Deadlines mentioned in the post are August 23 for the first two positions and August 15 for the battery manufacturing position. The linked KTH vacancy pages provide the full application details. Funding information is not described in the post excerpt, but these are postdoctoral employment openings rather than scholarships. Interested applicants should review the relevant KTH job page, confirm eligibility, and submit their application through the university’s recruitment portal before the deadline.