Job Description

Project Assistant Post-Doc 40 hours/week | limited to 1 year

The Intelligent Systems and Buildings (ISAB) Lab, part of the Center of Artificial Intelligence & Machine Learning (CAIML) at TU Wien, is seeking a Postdoctoral Researcher working on causal machine learning for fault detection and diagnosis (FDD) in complex engineering systems, with a particular focus on renewable energy systems (wind turbines) and building energy systems. The successful candidate will work on machine learning methods for causal discovery and inference with time series data to improve interpretability, reliability and robustness of FDD in physical systems.


Key responsibilities:

  • Develop and implement causal machine learning models for time series problems.

  • Collaborate with other researchers in the field of machine learning.

  • Collaborate with domain experts in the field of energy systems.

  • Publish research output in leading conf...

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