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KTH Royal Institute of Technology in Stockholm invites applications for a Postdoctoral Fellow in solid-state batteries, focusing on precision manufacturing and metrology within the Dept. Production Engineering.
The project is part of the Swedish COMPEL initiative, aiming to enable robust, scalable production for the transport sector. The position offers interdisciplinary research at the interface of precision manufacturing, metrology, and digital manufacturing, with emphasis on reducing
Postdoc in solid-state batteries – Precision manufacturing at KTH Royal Institute of Technology, School of Industrial Engineering and Management. The project is part of the Swedish governmental battery initiative COMPEL, aiming to support competence and excellence in battery research and education for the transport sector. The 2-year postdoctoral project, Precision Manufacturing for scalable production of Solid-State Batteries, will be conducted within the Dept. Production Engineering. It offers an interdisciplinary research opportunity at the interface of precision manufacturing, metrology, production engineering, and digital manufacturing, applied to solid-state batteries. The work focuses on investigating how manufacturing precision and integrated metrology can reduce process variability, minimize process-induced errors, and improve production robustness, while characterizing how variation arises and propagates through the manufacturing process chain and how it can be controlled. A central objective is to develop measurement-based methodologies that relate manufacturing precision, process capability, and product quality. Precision metrology and inline quality assurance will be used to identify critical process parameters, understand error sources, and define manufacturing tolerances that support robust production. Advanced measurement and non-destructive evaluation techniques, including optical and laser-based metrology, industrial X-ray computed tomography (CT), and ultrasonic sensing, will monitor process stability and detect defects at different stages of manufacturing. The resulting data may be combined with process models and digital engineering tools to support tolerance engineering, process analysis, and continuous improvement. The expected outcomes include new methods for reducing manufacturing variability, improving process capability, and enabling reliable industrial scale-up of solid-state battery production.
Requirements
Preferred qualifications
Great emphasis will be placed on personal skills.