Department: TW08 – Department of Electromechanical, Systems and Metal Engineering
Institution: Ghent University
Degree Required: M.Sc. in Mechanical Engineering, Mechatronics, or related engineering fields
Occupancy Rate: 100%
Vacancy Type: Research Staff
Application Deadline: 14 March 2026, 23:59
Ghent University employs over 15,000 people and is actively involved in education, research, management, and technical and social service provision. With 11 faculties and more than 85 departments, the university offers state-of-the-art programs and a dynamic, inclusive work environment.
The Dynamic Design Lab focuses on modelling, control, and optimization for mechatronic systems, industrial robots, and processes.
This PhD is part of the Flanders Make SBO project CausAICA, which aims to develop next-generation causal reasoning frameworks for explainable and trustworthy diagnosis of complex industrial systems.
Key features of the research:
Hybrid modelling: integrates physics-based knowledge, experimental data, and probabilistic reasoning
Focus: fault diagnosis and root-cause identification for a web-winding machine
Applications: extendable to wind turbines, motors, and other industrial mechatronic setups
Project goals include developing causal AI methodologies that are accurate, physically interpretable, and uncertainty-aware.
Develop scalable causal discovery and inference methods for mechatronic systems
Validate causal structures and root causes against experimental and simulation fault fingerprints
Seek industrial and societal impact of methodologies
Present research at conferences and in journals
Collaborate with researchers within and outside the research group
Master’s degree in Mechanical/Electromechanical Engineering, Mechatronics, or related fields
Experience in system identification and modelling of mechatronic systems
Proficient in Python programming
Knowledge of physics-based and data-driven modelling
Familiarity with mechatronic hardware and software
Strong foundation in probability, statistics, Bayesian modelling, uncertainty quantification, and causal inference
Creative, team-oriented, results-driven, and able to work in multidisciplinary contexts
Excellent communication skills in English
Willingness to extend networks and discuss technical matters
Full-time doctoral fellowship (initial 12 months, extendable to 48 months)
Earliest start date: 1 April 2026
Fellowship: 100% of net salary of an AAP member (tax-free), adjusted for family status and seniority
Access to state-of-the-art tools, facilities, and Flanders Make industry network
Opportunity to improve expertise in machine learning, (probabilistic) modelling, system identification, and numerical optimization
Benefits: 36 days annual leave + bridge days, bicycle allowance, eco vouchers, and training opportunities
Send your CV, copy of diploma (if already obtained), and motivation letter to:
???? annelies.coene@ugent.be
Include ‘CAUSAL PHD’ in the email subject.
Deadline: 14 March 2026
Selected candidates will be invited for an online interview. Late applications will not be accepted.
Ghent University promotes diversity and equal opportunities. Applicants from all backgrounds are encouraged to apply.
For further information, contact: Annelies Coene – annelies.coene@ugent.be, +32(0)9/264 57 04