Olivier Caelen
Closing soon
5 days ago
PhD Position on Causal AI for Smart Buildings UCLouvain in Belgium
Degree Level
PhD
Field of study
Computer Science
Funding
The project is an applied research PhD position conducted in close collaboration with an industrial partner, with research time shared equally between UCLouvain and the industrial environment. No stipend or tuition details are stated.
Deadline
Sep 10, 2026
Country
Belgium
University
UCLouvain

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
Apply for this position
Keywords
Suggested positions
About this position
PhD Position on Causal AI for Smart Buildings at UCLouvain (LIDAM).
This opening is for an applied PhD project at the intersection of temporal causal inference, machine learning, and building energy systems. The research is described as a collaboration with an industrial partner, with time split equally between the university and the industrial environment, which suggests a strongly applied and translational research setting.
Research themes: causal AI, smart buildings, energy systems, temporal modeling, applied machine learning.
Supervisor/announcer: Olivier Caelen, Associate Professor at UCLouvain.
Eligibility/requirements: The post does not list formal entry requirements, but it is aimed at students interested in PhD-level research in AI and energy-related systems.
Funding: No stipend, tuition, or scholarship details are provided in the post.
Deadline: Thursday, 10 September 2026.
If you are interested, monitor the original LinkedIn post or related UCLouvain/LIDAM channels for the full application instructions.
Funding details
The project is an applied research PhD position conducted in close collaboration with an industrial partner, with research time shared equally between UCLouvain and the industrial environment. No stipend or tuition details are stated.
What's required
Applicants should be interested in an applied PhD project at the intersection of temporal causal inference, machine learning, and building energy systems. The post does not specify degree prerequisites, grades, language tests, or other formal requirements.
How to apply
Share the opportunity with interested students and colleagues; the post does not provide an application portal or email. Use the LinkedIn post/source to look for the full application instructions if available elsewhere.
More information can be found here
Ask ApplyKite AI
Professors

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.