📢 Netherlands – PhD Position in Physical Learning at AMOLF

🏛 University: AMOLF
🌍 Country: Netherlands

🎓 Fields:
Physics, Mechanical Engineering, Materials Science, Computer Science, Complex Systems


Are you fascinated by the mysteries of how physical systems adapt and learn, and eager to explore the frontiers where physics meets machine learning and complex systems? If your academic ambitions involve unraveling the fundamental principles of learning in matter, this opportunity at AMOLF in Amsterdam could be the perfect next step in your research career.


The PhD position focuses on "Physical Learning in Dynamical Systems," a field at the intersection of condensed matter physics, non-equilibrium statistical mechanics, complex systems, and learning theory. While learning is commonly associated with brains or computers, many physical systems—ranging from biological networks to adaptive materials—are capable of modifying their behavior based on past experiences. Despite the prevalence of these adaptive phenomena, there remains a profound gap in our understanding of how learning emerges in physical systems, especially those operating far from equilibrium.

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https://phdfinder.com/2026/09/25/netherlands-phd-position-in-physical-learning-at-amolf/



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