Researcher: Physical Learning Machines

3 weken geleden


Amsterdam, Noord-Holland, Nederland AMOLF Voltijd

The Learning Machines group at AMOLF is seeking a highly motivated researcher to join our team. As a researcher in the group, you will be part of a dynamic and collaborative environment that focuses on the development of fundamental understanding and theories regarding learning, from a physical perspective, under real-world constraints.

The successful candidate will have a strong background in physics, biophysics, electrical/mechanical engineering, materials science, or computer science, with a keen interest in learning, broadly defined, in physical, biological, or computational systems. The candidate will be responsible for conducting research in theoretical understanding of physical learning, developing new methods, and collaborating with international groups and companies.

The group aims to bridge knowledge gaps between computational and biological learning, as well as design physical learning machines that autonomously solve hard inverse design problems. The researcher will have the opportunity to work closely with the group leader and AMOLF resources in all aspects of design, realization, and interpretation of computational models of physical learning.

We are looking for a researcher who is passionate about understanding the fundamental principles of learning in physical systems and has excellent communication skills in English. The position is intended as full-time (40 hours/week, 12 months/year) appointment in the service of the Netherlands Foundation of Scientific Research Institutes (NWO-I) for the duration of four years.

For more information, please see the Work Activities and Qualifications sections below.



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