AI for Power Electronics Design - Research Assistant

Opportunita; Aalborg; Hybrid; DKK 360,000 - 480,000; Full time

Benefits offered by this job

Relocation support

International environment

Advanced facilities

Job summary

Aalborg University invites applications for a two-year Research Assistant position focused on Artificial Intelligence for Power Electronics Design. The role involves developing ML models, training on circuit data, and creating surrogate tools to speed up design evaluation.

Based at AAU Energy, the position emphasizes interdisciplinary collaboration with experts in AI, power electronics and software. A Master’s degree and hands-on ML experience are required, with relocation support and a global

Qualifications

• Master's degree in computer science, electrical engineering or AI.
• Strong practical experience in applied machine learning and model validation.
• Familiarity with electronic systems, PCB and thermal simulations is advantageous.

Responsibilities

• Develop, train and evaluate ML models from circuit data and designs.
• Build surrogate models to accelerate thermal and electromagnetic solvers.
• Apply computer vision to recognize PCB geometries and component placements.
• Explore graph-based methods to analyze circuit relationships and rules.
• Document workflows, validate results and share findings with colleagues.

Skills

Machine learning

Graph neural networks

Computer vision

Python

Model validation

Education

Master's degree in computer science

Master's degree in electrical engineering

Master's degree in artificial intelligence

Tools

TensorFlow/PyTorch

Matlab

PCB design tools

Job description

Aalborg University invites applications for a two-year Research Assistant position focused on Artificial Intelligence for Power Electronics Design. The role involves developing ML models, training on circuit data, and creating surrogate tools to speed up design evaluation.

Based at AAU Energy, the position emphasizes interdisciplinary collaboration with experts in AI, power electronics and software. A Master’s degree and hands-on ML experience are required, with relocation support and a global