Causal AI for Smart Buildings
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Organisation/Company Université Catholique de Louvain (UCL) Research Field Computer science » Informatics Computer science » Other Engineering » Computer engineering Mathematics » Statistics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 10 Sep 2026
- 23:59 (Europe/Brussels) Country Belgium Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
Offer Description
This applied PhD will develop temporal causal-inference methods for multivariate time series from building sensor networks. Temporal causality is the scientific core: the project will develop models of causal and dynamical relationships from complex, noisy data, incorporating partial structural knowledge and domain expertise. The methods will be evaluated on their ability to distinguish sensor faults from legitimate operational changes, detect physical equipment malfunctions, and validate or reconstruct energy-flow graphs.
Methodological research, implementation, and validation on real-world industrial data will be carried out with a partner active in building energy and property management.
