Publisher
source

Dries Benoit

1 month ago

PhD Position in Explainable Machine Learning for Manufacturability Prediction at Ghent University Ghent University in Belgium

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

December 31, 2026
Country flag

Country

Belgium

University

Ghent University

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Keywords

Computer Science
Deep Learning
Artificial Intelligence
Industrial Engineering
Data Mining
Geometry
Machine learning

About this position

Ghent University invites applications for a full-time PhD position in the Department of Marketing, Innovation and Organisation, within the CVAMO Flanders Make Lab. This doctoral fellowship focuses on developing advanced machine learning models to predict manufacturability and manufacturing effort directly from CAD geometry. The research aims to translate geometric design information into quantitative estimates of manufacturing effort and cost, leveraging state-of-the-art methods such as Graph Neural Networks, geometric deep learning, and multi-view learning architectures. A strong emphasis is placed on explainable AI, enabling the identification of geometric features that drive cost increases or infeasibility, and providing interpretable managerial decision support.

The successful candidate will enroll as a full-time PhD student for four years (subject to yearly positive evaluations) under the supervision of Professor Dries Benoit. The position includes opportunities to contribute to teaching activities (Data Mining, Machine Learning) and collaborative industry projects, each up to 10% of the appointment. The research environment is highly stimulating, with close connections to industrial applications and opportunities for conference participation, doctoral school training, and international publication.

Applicants must hold or be about to complete a Master’s degree in a relevant field (e.g., business engineering, industrial engineering, mathematics, engineering, computer science, artificial intelligence). Strong study results, a keen interest in machine learning and AI, background knowledge in neural networks and deep learning, strong analytical and programming skills, and excellent English proficiency are required. The ability to work independently and collaboratively is essential.

The fellowship offers a competitive stipend (100% of the net salary of an AAP member, tax-free, amount based on family status and seniority) for up to 48 months, with various staff benefits including training opportunities, holiday leave, bicycle allowance, and eco vouchers. The targeted starting date is September 1, 2026.

To apply, submit a motivation letter, detailed CV with study results, and copies of your degree and transcripts (all in PDF format) via email to [email protected] by April 5, 2026, 23:59. Please ensure the subject line of your email starts with “PHD26”. Ghent University is committed to equal opportunities and diversity; all qualified candidates are encouraged to apply.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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