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We are seeking a motivated PhD student in computational materials physics, particularly AI-driven studies of nanomagnetism. The PhD student will work within an active research group in materials theory
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and numerical methods ranging from effective field theory, topological solitons, statistical mechanics of the phase transitions, topological systems to modern microscopic quantum many-body techniques
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education is a person who has completed a degree at an advanced level in a technical, mathematical, or scientific field or who has otherwise acquired knowledge to be able to benefit from postgraduate
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will be admitted to postgraduate education. Eligible for admission to postgraduate education is a person who has completed a degree at an advanced level in a technical, mathematical, or scientific field
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qualifications for: - specific knowledge and skills within the subject area and related research fields - experience of scientific theory and relevant research methodology - scientific analysis and presentation
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. The assessment shall attach particular importance to documented qualifications for: - specific knowledge and skills within the subject area and related research fields - experience of scientific theory and
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engineering or another subject relevant to the project. Additional requirements In order to complete the doctoral programme in question, the following are also required: Good knowledge in mathematics
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, mathematics, or a related field. Ability to independently conduct large-scale genetic analyses (GWAS). Expertise in bioinformatics/statistics, including programming (e.g., R or Python). We are searching
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: Bachelor's or Master's degree in statistics, mathematical statistics or medical statistics. Good knowledge and experience in statistical programming software (R, SAS, or Stata). At least three years of
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, you should have: A Master of Science degree in Mechanical Engineering, Mathematics, Physics, or in relevant fields of fluid/structure dynamics and acoustics. Very good knowledge of English, both spoken