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source

Eindhoven University of Technology

PhD in Safe AI-Based Control at Eindhoven University of Technology Eindhoven University of Technology in Netherlands

Degree Level

PhD

Field of study

Computer Science

Funding

4-year PhD position with salary according to TU/e scale plus benefits. The post mentions access to high-tech facilities and industry collaborations and is tagged as fully funded.

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Country

Netherlands

University

Eindhoven University of Technology

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Keywords

Computer Science
Machine Learning
Mechanical Engineering
Electrical Engineering
Mathematics
Industrial Engineering
Formal Methods
Optimisation
Data-driven Modeling
Robotics
Autonomous Vehicle

About this position

PhD opportunity in Safe AI-Based Control at Eindhoven University of Technology (TU/e), Netherlands.

The project focuses on developing safe AI-based control methods that combine learning from data with formal safety guarantees. Research topics include learning-based control with safety guarantees, data-driven modeling, formal verification, and real-time implementation and testing.

Application areas mentioned in the post include autonomous vehicles, robotics, and process industries. This is a 4-year PhD position with salary according to TU/e scale plus benefits, and access to high-tech facilities and industry collaborations.

Eligible applicants should have an MSc in Electrical Engineering, Mechanical Engineering, Computer Science, Applied Mathematics, or a related field. A strong background in control theory, machine learning, and optimization is expected, and experience with formal methods or safety verification is a plus. Good programming skills and English proficiency are also required.

Apply through the TU/e vacancies page and check the vacancy for full instructions and contact details.

Funding details

4-year PhD position with salary according to TU/e scale plus benefits. The post mentions access to high-tech facilities and industry collaborations and is tagged as fully funded.

What's required

Applicants should have an MSc in Electrical Engineering, Mechanical Engineering, Computer Science, Applied Mathematics, or a related field. A strong background in control theory, machine learning, and optimization is expected. Experience with formal methods or safety verification is a plus. Good programming skills and English proficiency are required.

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