PhD Researcher in High Performance Computing (Remote, Denmark)

Job summary

A PhD position is available for research focused on modeling new magnetic composites using high performance computing techniques. The project aims to develop a heavy-rare-earth-free permanent magnet through a nano-composite of magnetic materials, utilizing advanced numerical modeling methods.

Qualifications

• Master’s degree in physics, astronomy, engineering, computer science, or a related field.
• Proficiency in Fortran or other compiled programming languages.
• Experience with numerical methods and parallelization techniques.
• Strong ability to work independently and manage complex tasks.
• Excellent communication skills in English, both written and spoken.

Responsibilities

• Develop and enhance high performance computing numerical methods within the MagTense micromagnetic model.
• Simulate and analyze the physics of magnetic nano-composites, focusing on their magnetic properties and material interactions.
• Collaborate with partners to validate modeling results against experimental data.
• Publish findings in the open-source MagTense framework to contribute to future simulations in magnetism.

Education

• A two-year master's degree (120 ECTS points) or an equivalent academic level is required.

Tools

• Familiarity with MagTense, CUDA for parallel computing, and interfaces with Matlab and Python is beneficial.