Postdoctoral Research Associate in Digital Twins for Sustainable Building Renovation
Develop AI-driven digital twin solutions for smart, energy-efficient building renovations within a Horizon Europe consortium.
Best for:Best for postdoctoral researchers with expertise in digital twins, BIM, AI/ML, and IoT integration who seek to contribute to sustainable urban infrastructure projects.
Overview
This postdoctoral position at City, University of London’s Department of Engineering focuses on advancing digital twin technology for sustainable building renovation. The successful candidate will contribute to the Horizon Europe REMADE project, creating an integrated digital platform combining Building Information Modelling (BIM), AI, cloud computing, IoT, and real-time analytics. The role involves designing BIM-based digital twins, integrating sensor data, and optimizing energy efficiency, HVAC systems, and predictive maintenance. Collaborative work with international academic and industry partners will require international travel, technical reporting, and dissemination activities. The position offers a permanent contract with a 24-month funding commitment, reflecting the university’s commitment to research staff stability.
What you'll do
- Develop BIM-based digital twin models for building renovation projects, integrating data from IoT devices, sensors, and external sources.
- Contribute to cloud-based platforms and AI-driven solutions for energy efficiency, HVAC optimization, and predictive maintenance.
- Support data integration, pilot demonstrations, testing, and validation activities across international project sites.
- Collaborate with academic and industry partners to create smart building management tools for improved occupant comfort and operational performance.
- Undertake regular international travel to participate in project meetings, research activities, and stakeholder engagements.
- Author technical reports, publications, and dissemination materials to communicate project outcomes and findings.
Requirements
Degree required: PhD in Digital Construction, Computer Science, Civil Engineering, Building Engineering, Data Science, Artificial Intelligence, or a related discipline (or nearing completion).
Language: English; proficiency required for academic collaboration and reporting.
Instruction: English
- Proven experience in Building Information Modelling (BIM) and digital construction.
- Proficiency in digital twins, AI, and machine learning techniques.
- Strong programming skills in Python, JavaScript, or C#.
- Experience with cloud computing, IoT integration, and data analytics.
- Familiarity with APIs, databases, and collaborative research projects.
- No explicit nationality or residency restrictions mentioned.
- Open to candidates nearing completion of a PhD.
Funding & terms
How to apply
Deadline: 2026-10-18
Applicants must submit their CV, cover letter, and academic transcripts through the university’s job portal. Additional documents may be requested based on the application review process. Ensure your application highlights relevant experience in digital twins, BIM, and AI-driven solutions.
- CV
- Cover letter
- Academic transcripts (BSc, MSc, PhD if completed)
- Proof of PhD completion or confirmation of imminent completion
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