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University of Groningen

PhD Position in Systems and Control Theory for Energy-based Learning at University of Groningen University of Groningen in Netherlands

Degree Level

PhD

Field of study

Computer Science

Funding

PhD position within the ERC Starting Grant project "Energy-based learning of complex dynamical systems" (E-BLOCS). The post indicates a funded research appointment, but no stipend amount or tuition details are provided in the text.

Deadline

Nov 10, 2026

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Country

Netherlands

University

University of Groningen

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Keywords

Computer Science
Electrical Engineering
Mathematics
Artificial Intelligence
Dynamical Systems
Optimisation
Control System
Physics

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About this position

PhD position in Systems and Control Theory for Energy-based Learning at the University of Groningen, Netherlands.

The successful candidate will join the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence within the Faculty of Science and Engineering and work in the Systems, Control and Optimization Group. The project is embedded in the ERC Starting Grant “Energy-based learning of complex dynamical systems” (E-BLOCS), led by Dr. Henk van Waarde.

Research themes include systems and control theory, energy-based learning, complex dynamical systems, optimization, and related areas in mathematics, computer science, and artificial intelligence. The post highlights a lively and supportive environment, regular seminars, joint group meetings, and opportunities for international collaboration, research visits, and interdisciplinary training.

This is a PhD opening in the Netherlands. The post does not mention a scholarship programme name, language-test waiver, or fee waiver. Deadline: 10 Nov 2026.

Funding details

PhD position within the ERC Starting Grant project "Energy-based learning of complex dynamical systems" (E-BLOCS). The post indicates a funded research appointment, but no stipend amount or tuition details are provided in the text.

What's required

PhD candidate for research in systems and control theory for energy-based learning. The post implies a strong background in mathematics, control, optimization, and/or computer science/artificial intelligence is relevant. The candidate will work on complex dynamical systems and collaborate internationally within an ERC project.

How to apply

Apply via the AcademicTransfer application page. Review the vacancy details and submit the application through the provided portal before the deadline.

More information can be found here

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