**Job Description**
The project seeks a motivated Ph.D. student to realize learning in novel physical materials, a joint theoretical/experimental research endeavor between AMOLF and the University of Amsterdam. This research aims to imbue metamaterials and robots with intrinsic adaptation and learning capabilities, drawing inspiration from living systems’ resilience. Utilizing a combination of theory, numerical experiments, and precision desktop experiments, the project will create 3D materials with self-adapting elastic elements to counteract environmental changes and aging. The goal is to develop materials that learn continually without forgetting old lessons, thereby redefining materials engineering with implications for adaptive materials and robotics.
**Skills & Abilities**
• Strong background in physics, mechanical engineering, materials science, or computer science with an interest in complex metamaterials and physical learning.
• Good verbal and written communication skills in English.
• Experience with coding (Python/Matlab) and numerical methods is advantageous.
• Familiarity with concepts in complex systems, physical memories, or machine learning is advantageous.
**Qualifications**
Required Degree(s) in:
• Physics
• Mechanical Engineering
• Materials Science
• Computer Science
• Any area of science or engineering (meeting MSc degree requirements)
Note: We’ve analyzed the actual job post using AI, for more details visit the original job post by clicking on “Apply Now”!
