PhD Researcher: Physical Learning Machines
1 dag 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, 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 theoretical understanding of physical learning and physically realizable learning rules. The project will involve analytical and computational modeling of physically and biologically inspired systems, and the development and characterization of physical methods by which such systems can learn.
The research aims to connect the ideas of physical learning to real-life biological learning systems, such as slime molds and systems in our own bodies, and to understand how simple learning rules implemented by such systems give rise to diverse and intricate behaviors in nature.
We are looking for 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.
The position is intended as a full-time appointment for the duration of four years, with a starting salary of 2.781 Euros gross per month and a range of employment benefits. The successful candidate will be granted a PhD degree at a Dutch University after successful completion of the research.
For more information, please contact Dr. Menachem Stern at m.stern@amolf.nl.
Key Responsibilities- Conduct research on physical learning machines and their applications
- Develop and characterize physical methods for learning in physical systems
- Collaborate with the Learning Machines group and other researchers at AMOLF
- Present research results at international conferences and publish in top-tier journals
- Master's degree in physics, biophysics, electrical/mechanical engineering, materials science, or computer science
- Strong background in physics, biophysics, electrical/mechanical engineering, materials science, or computer science
- Excellent communication and teamwork skills
- Ability to work independently and as part of a team
- Full-time appointment for four years
- Starting salary of 2.781 Euros gross per month
- Range of employment benefits
- Opportunity to work with a talented team of researchers
- Access to state-of-the-art research facilities
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