PhD Position in Metal Additive Manufacturing Process Monitoring and Control (ERC Project) University of Ljubljana in Slovenia

The Faculty of Mechanical Engineering at the University of Ljubljana is offering a fully funded PhD position as part of the ERC Starting Grant project 'Melting-Process-Condition Variations-Aware Control of the Laser-Powder Bed Fusion of Metals' (MeltingWell). This project focuses on advancing the field of metal additive manufacturing, specifically laser-powder bed fusion (PBF-LB/M), also known as selective laser melting (SLM). PBF-LB/M is a cutting-edge technology enabling the production of complex, high-performance metal parts for applications such as medical implants and aerospace components. Despite its advantages, the process is challenged by variations in process conditions, which can lead to defects and quality inconsistencies.

The project's goal is to develop and validate new control methods that account for all common sources of process condition variations, thereby improving the reliability and industrial adoption of PBF-LB/M. Key research tasks for the PhD candidate include developing and setting up a coaxial measurement system for meltpool depth, collecting and analyzing measurement data, contributing to the development of machine learning-based prediction models, implementing and testing a process control system, and evaluating the quality of printed parts. The candidate will work under the supervision of Assist.

Prof. Dominik Kozjek in the Laboratory for Mechatronics, Production Systems and Automation. The position offers advanced training in additive manufacturing and control technologies, opportunities to participate in international conferences, and support for publishing research in scientific journals.

The role is based in Ljubljana, Slovenia, a city known for its high quality of life and proximity to natural attractions. The position is full-time for four years, with a salary of approximately 3,800 EUR per month (before taxes), including health and social insurance and a retirement plan. Applicants should have a master's degree in mechanical engineering, electrical engineering, or a related field, with a strong background in mechatronics and laser technologies.

Preferred skills include programming (Python, C/C++), machine learning, materials testing, and experience in metal additive manufacturing. Candidates should be creative, self-motivated, and possess strong communication skills in English. Applications should include a CV, academic transcripts, a list of publications/achievements, and a motivation video, submitted as a single PDF to [email protected] by 15 December 2025.

For more information, visit the official position link.