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AMOLF in Amsterdam invites applications for a PhD Student position in Physical Learning in Dynamical Systems. The role focuses on analytical theory and large-scale simulations of adaptive physical networks and learning rules in non-equilibrium dynamics.
Applicants should meet the discipline-specific qualifications and apply through the institutional recruitment route. The position is a four-year doctoral research appointment with full-time commitment, hosted by AMOLF in the Netherlands, with a
AMOLF
Netherlands
AMOLF is recruiting for PhD Student in Physical Learning in Dynamical Systems in Amsterdam. The work centres on physical learning in non-equilibrium dynamical systems, with an application date of 2026-12-31.
This opportunity focuses on physical learning in non-equilibrium dynamical systems. Develop analytical theory and large-scale simulations of adaptive physical networks, local learning rules, feedback, non-reciprocity, phase diagrams and limits of learning without centralized backpropagation. It is hosted by AMOLF in Amsterdam and is structured as a doctoral research position. Applicants should match the discipline-specific qualifications in the official vacancy and submit through the verified institutional recruitment route.
physical learning in non-equilibrium dynamical systems physics phd student in physical learning in dynamical systems
A relevant Master's degree or equivalent is expected for doctoral roles; a doctorate or equivalent research qualification is expected for postdoctoral or faculty roles.
Amount EUR 3,115 / Per Month
Funding Type Salary
Funding Status Paid
Period Per Month
Level PhD
Time Commitment Full-time
Duration Four years
Field Physical learning in non-equilibrium dynamical systems
Specialization Physics
Organization Type Research Institute