Neurophysics Master of Science
Explore the computational principles of the brain and artificial neural networks through physics and advanced modeling.
Best for:Best for students with a strong background in physics, mathematics, or computer science who are eager to explore the intersection of neuroscience and computational modeling.
Overview
This unique two-year Master of Science programme at Radboud University combines experimental physics, machine learning, and computational modeling to investigate the neuro-computational mechanisms of the brain. Students will gain a rigorous theoretical foundation in neural systems, studying both biological and artificial neural networks. The programme leverages advances in network theory and brain imaging technologies, offering interdisciplinary training in complex systems and intelligent behavior. It is designed for students passionate about bridging neuroscience and computational science, with a focus on cutting-edge research opportunities.
What you'll do
- Develop advanced computational models to simulate neural systems and artificial neural networks.
- Conduct experimental research to investigate neuro-computational mechanisms using cutting-edge physics techniques.
- Apply machine learning methods to analyze and interpret brain data and neural network behavior.
- Engage in interdisciplinary research projects that integrate theory, experimentation, and computational modeling.
- Participate in seminars, workshops, and collaborative research initiatives within the Neurophysics community.
- Develop a specialized understanding of complex systems and intelligent behavior in both biological and artificial contexts.
Requirements
Degree required: Bachelor of Science in Physics, Neuroscience, Computer Science, Mathematics, or a related field
Degree offered: Master of Science
Language: English; proficiency sufficient for academic study and research
Instruction: English
- Strong background in physics, mathematics, or computer science
- Proficiency in computational modeling and programming (e.g., Python, MATLAB)
- Basic understanding of neural systems and experimental physics
- Analytical and problem-solving skills
- Ability to work collaboratively in interdisciplinary research environments
- Open to international applicants
- No specific nationality restrictions
- No prior residency requirements mentioned
Funding & terms
Programme and admissions
Admissions not verified
A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
- Not confirmed by the source
- Duration
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- Taught / research mode
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- Study mode
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- Campus
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- Prerequisites
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- Tuition
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How to apply
Deadline: 2027-04-01
Applicants must submit their application through Radboud University’s official online portal. Required documents include a CV, a motivation letter, academic transcripts, and proof of English proficiency. Additional materials may be requested depending on the application.
- CV
- Motivation letter
- Academic transcripts (Bachelor’s degree)
- Proof of English proficiency (e.g., IELTS, TOEFL)
- Letter of recommendation (if applicable)
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.