The M-Group at KU Leuven Bruges Campus offers a fully funded PhD position focused on the application of reinforcement learning with human feedback for toolpath generation in CAD-to-CAM automation. This interdisciplinary research team combines expertise from Computer Science, Electrical Engineering, and Mechanical Engineering, and is renowned for its work on intelligent and dependable mechatronic systems. The PhD project aims to automate the CAD-to-CAM process in machining, leveraging machine learning, multi-objective optimization, and human feedback to generate and improve work plans for manufacturing parts.

The successful candidate will pursue a PhD in Computer Science at KU Leuven, embedded within the Declarative Languages and Artificial Intelligence (DTAI) lab, which is internationally recognized for its research in machine learning and artificial intelligence. Doctoral training is provided through the Leuven Arenberg Doctoral School, offering a robust framework for both academic and industrial career development. The research will utilize product design data (CAD files), historical work plans and process information, and machining quality data, focusing on mainstream machining processes such as turning, milling, and drilling.

This PhD position is part of the Flanders Make Strategic Basic Research project AutoCAM, which aims to automate work plan generation for both existing and new parts, supporting operators and production planners in industry. The project offers close collaboration with leading industry partners, access to state-of-the-art lab facilities, and opportunities to present research at international conferences and publish high-quality papers.

Applicants should have a Master's degree in Computer Science, Artificial Intelligence, Electrical Engineering, Mechanical Engineering, or a related field, with above-average academic performance. Proficiency in English, experience with machine/deep learning, and strong programming skills in Python are required. Prior experience with reinforcement learning, multi-objective optimization, and CAD/CAM processes is advantageous. Candidates should demonstrate independence, teamwork, and strong communication skills. KU Leuven values diversity and encourages candidates from all backgrounds to apply.

The position includes a competitive remuneration package, health insurance, and university benefits. Doctoral training and professional development opportunities are provided, with a strong emphasis on linking academic research to industrial innovation. The Bruges Campus offers a vibrant academic setting in close proximity to industry, with newly established labs and a dynamic team of researchers.

To apply, candidates must use the online application tool and submit a single PDF file containing a motivation letter, academic CV, list of publications (if any), copies of diplomas, transcripts, English summary of master thesis, proof of English proficiency, and a reference letter or contact details. For further information, contact Prof. Mathias Verbeke at [email protected].

KU Leuven is committed to equal opportunity, diversity, and an inclusive research environment. The university is ranked among the top 100 globally and offers a truly international experience, world-class research, and cutting-edge innovation.