Summary
The Department of Electrical Engineering at TU/e invites applications for a PhD position focused on developing cutting-edge AI inspired by active inference principles for manufacturing processes. This project aims to enhance real-time adaptation in manufacturing by addressing uncertainties through advanced AI techniques.
Designation
PhD Candidate in Active Inference for Manufacturing Processes
| Field | Details |
|---|---|
| Location | Eindhoven, Netherlands |
| Employment | Full-time, Temporary (4 years) |
| Salary Scale | €3,059 – €3,881 (scale P) |
| Research Area | Active Inference, Machine Learning, Manufacturing Processes |
Research Area
- Active Inference
- Bayesian Machine Learning
- Probabilistic Graphical Models
- Computational Neuroscience
- Manufacturing Processes
Location
- Eindhoven, Netherlands, at the Technological University of Eindhoven (TU/e)
Eligibility/Qualification
- A master’s degree in Electrical Engineering, Physics, Computer Science, or a related field.
- Interest in manufacturing, (Bayesian) machine learning, and professional software development.
- Proficient in English (C1 level or better).
- Team player with a strong work ethic and a positive attitude.
Job Description
- Apply active inference principles to manufacturing processes.
- Develop algorithms for real-time Bayesian inference and model alignment.
- Collaborate with BIASlab researchers and industrial partners.
- Contribute to the development of the RxInfer toolbox for automating real-time Bayesian inference.
- Engage in teaching tasks, contributing 10-15% of the time.
How to Apply
Interested candidates should submit a complete application online, including:
- A cover letter (max 1 page) outlining motivation and qualifications.
- Curriculum vitae detailing publications and references.
- MSc thesis or relevant scientific paper (if available).
- Links to any open-source software code (if applicable).
Submit all requested documents; incomplete applications may be rejected.
Last Date to Apply
- July 11, 2026
For further questions, please contact Dr. Thijs van de Laar at t.w.v.d.laar@tue.nl. Note that applications sent via email will not be processed; apply online only.
