AI Research Assistant: Power Electronics Design

Aalborg Universitet; Aalborg; On-site; DKK 320,000 - 460,000; Full time

Job summary

AAU Energy seeks a Research Assistant to develop, train and evaluate machine-learning models for power electronics design. You will build surrogate models to speed up thermal and electromagnetic evaluations, and may apply computer vision to PCB geometries and circuit layouts.

You will work with colleagues in AI, power electronics, semiconductors and software development, contributing to robust, data-driven workflows and reproducible experiments.

Qualifications

• Master's degree in computer science, electrical engineering, electronics, AI or related field.
• Experience developing, training and evaluating machine-learning models in engineering contexts.
• Familiarity with structured and unstructured engineering data including circuit representations and images.

Responsibilities

• Develop, train and evaluate ML models on circuit data, board geometries and images.
• Create surrogate models to approximate thermal and electromagnetic solvers.
• Explore computer vision for recognizing circuit structures and PCB geometries.
• Investigate graph-based methods to represent circuit relationships and test design hypotheses.
• Document workflows, validate model performance and share results with colleagues.

Skills

Machine learning

Graph neural networks

Computer vision

Surrogate modeling

Education

Master's degree in CS/EE/AI or related field

Tools

Python

TensorFlow

Job description

AAU Energy seeks a Research Assistant to develop, train and evaluate machine-learning models for power electronics design. You will build surrogate models to speed up thermal and electromagnetic evaluations, and may apply computer vision to PCB geometries and circuit layouts.

You will work with colleagues in AI, power electronics, semiconductors and software development, contributing to robust, data-driven workflows and reproducible experiments.