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PhD in AI‑Assisted Design of Smart Energy‑Flexible Buildings

UCLouvain · Brussels

New
CDD Junior 🇬🇧 English
Python Julia machine learning building performance simulation smart building technologies energy system modelling mixed-integer programming LLM frameworks

Job description

About the role

The research group Architecture and Climate at UCLouvain seeks a motivated PhD candidate to develop an AI‑assisted recommender system for participatory design of smart, energy‑flexible buildings and energy communities.

Key responsibilities

  • Review state‑of‑the‑art ML surrogate models and AI recommender systems in building design.
  • Develop and integrate physics‑informed ML models and a multi‑energy hub into a browser‑based simulation suite.
  • Design and prototype an LLM‑based recommender that combines Retrieval‑Augmented Generation and agentic tool use.
  • Organise and run participatory workshops with stakeholders and analyse results using qualitative and statistical methods.
  • Publish research in international journals and present at conferences.

Required profile

  • Master’s degree in energy engineering, electrical engineering, energy economics, computer science, civil/building engineering or a related field.
  • Strong interest in building energy, sustainable design and the energy transition.
  • Excellent command of English; French is an asset.
  • Interest in interdisciplinary and participatory work with non‑expert stakeholders.

Required skills

  • Programming experience (Python, Julia or similar); machine‑learning experience is a strong asset.
  • Familiarity with building performance simulation, smart‑building technologies (heat pumps, PV, batteries, EV charging, home energy management).
  • Knowledge of energy system modelling and optimisation (linear/mixed‑integer programming) and power‑grid concepts.
  • Experience with LLM frameworks (RAG, agents, tool use) is a plus.

What we offer

  • A fully funded 2‑year PhD position with a doctoral scholarship (potential extension to 4 years).
  • Interdisciplinary research environment at the intersection of architecture, energy and AI.
  • Network of academic and practice partners in Belgium and abroad.
  • Support for conference participation, training and research stays.
  • Remuneration and social benefits according to UCLouvain doctoral scholarship rules.

Questions fréquentes

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Le contrat proposé est un CDD basé à Brussels.

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Published 1 day ago

Expires 1 month from now

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UCLouvain

Brussels