PhD Researcher: Physical Learning Machines
2 dagen geleden
We are seeking a highly motivated PhD researcher to join our team at AMOLF, working on the development of fundamental understanding and theories regarding learning from a physical perspective. The successful candidate will be part of the Learning Machines group, led by Dr. Menachem Stern, and will focus on the theoretical understanding of physical learning and physically realizable learning rules.
The project will involve analytical and computational modelling of physically and biologically inspired systems, and the development and characterization of physical methods by which such systems can learn. The aim of one project is to develop and analyze new methods by which diverse dynamical systems are able to learn, connecting these ideas to real-life biological learning systems, such as slime molds and systems in our own bodies.
Another project aims to study the interplay of structure, interactions, and function in physical learning systems, understanding how structure and topology develops in learning systems and how such structures hint at the functions these systems learn to perform.
QualificationsWe seek candidates with a strong background in physics, biophysics, electrical/mechanical engineering, materials science, or computer science with an interest in learning, broadly defined, in physical, biological, or computational systems. Excellent candidates with training in any area of science or engineering will be considered. PhD candidates must meet the requirements for an MSc degree. Good verbal and written communication skills in English are required.
Work EnvironmentThe Learning Machines group is a new group at AMOLF, focusing on the development of fundamental understanding and theories regarding learning from a physical perspective. The group aims to bridge knowledge gaps between computational and biological learning, as well as to design physical learning machines that autonomously solve hard inverse design problems.
Working Conditions- The working atmosphere at the institute is largely determined by young, enthusiastic, mostly foreign employees. Communication is informal and runs through short lines of communication.
- 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.
- The starting salary is 2,781 Euros gross per month, and a range of employment benefits.
- After successful completion of the PhD research, a PhD degree will be granted at a Dutch University.
- Several courses are offered, specially developed for PhD students.
- AMOLF assists any new foreign PhD student with housing and visa applications and compensates their transport costs and furnishing expenses.
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PhD Researcher: Physical Learning Machines
2 dagen geleden
Amsterdam, Noord-Holland, Nederland AMOLF VoltijdJob DescriptionWe are seeking a highly motivated PhD researcher to join our team at AMOLF, working on the development of fundamental understanding and theories regarding learning from a physical perspective, under real-world constraints.The successful candidate will be part of the Learning Machines group, led by Dr. Menachem Stern, and will focus on the...
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Amsterdam, Noord-Holland, Nederland AMOLF VoltijdJob DescriptionWe are seeking a highly motivated PhD researcher to join our team at AMOLF, working on the development of fundamental understanding and theories regarding learning in physical systems. The successful candidate will be part of the Learning Machines group, led by Dr. Menachem Stern, and will focus on the theoretical understanding of physical...
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PhD Researcher in Physical Learning Machines
2 weken geleden
Amsterdam, Noord-Holland, Nederland AMOLF VoltijdAbout the PositionWe are seeking a highly motivated PhD researcher to join our team at AMOLF, working on the development of fundamental understanding and theories regarding learning in physical systems. The successful candidate will be part of the Learning Machines group, led by Dr. Menachem Stern, and will focus on the theoretical understanding of physical...
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