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2 dagen geleden
At AMOLF, we are pushing the boundaries of scientific knowledge to advance our understanding of natural and artificial intelligence. Our researchers strive to understand the fundamental principles of learning in physical systems, from modeling and experimental data to developing new types of learning machines.
SalaryThe estimated salary for this position is 33,432 euros per year, based on a full-time appointment and excluding benefits. The starting salary is gross per month 2,781 euros and has a range of employment benefits.
Job DescriptionWe seek motivated PhD students to join our team working on learning in physical systems. As a physicist in machine learning development, you will be part of our efforts to bridge knowledge gaps between computational and biological learning, and design physical learning machines that autonomously solve hard inverse design problems.
Required Skills and Qualifications- You have 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.
- We offer several courses specifically developed for PhD-students.
- AMOLF assists any new foreign PhD-student with housing and visa applications and compensates their transport costs and furnishing expenses.
As a member of our team, you will work closely together with extensive support from your colleagues and AMOLF resources in all aspects of design, realization, and interpretation of computational models of physical learning. We value diversity and welcome applicants with any background.
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