Aarhus University’s Department of Electrical and Computer Engineering will soon announce a fully funded PhD position in the area of graph machine learning and signal processing. The research project centers on developing novel graph machine learning techniques, leveraging signal processing–informed inductive biases, and applying these methods to the condition monitoring of rotating machines. The opportunity is ideal for candidates with a strong interest in machine learning, signal processing, and graph-based methods, who are curious, research-driven, and eager to contribute to next-generation intelligent monitoring technologies.

The position is expected to start between March and August 2026. Interested candidates are encouraged to contact Associate Professor Naveed ur Rehman for an initial discussion. Full application details will be provided once the position is officially announced by Aarhus University.

The role offers full funding, though specific financial details are yet to be disclosed.