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** Person Specification
Closing date for applications: 20 September 2026 at 11:59pm
City St George’s, University of London is committed to promoting equality, diversity and inclusion in all its activities, processes, and culture for our whole community, including staff, students and visitors.
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City St George's, University of London
Postdoctoral Research Associate in Digital Twins (Internal Applicants Only)
Greater London On-site 2-5 yrs exp£43k – £45k / year
Digital twinsBIMArtificial intelligenceMachine learningCloud computing
Requirements
Candidates must hold or be nearing completion of a PhD in a relevant field such as Digital Construction, Computer Science, or Engineering. Strong programming skills and experience in BIM, AI, or data analytics are essential for this role.
Job Description
Please note: This vacancy is open to internal applicants only. Please use your @citystgeorges.ac.uk email address when applying.
City St George’s, University of London is the University of business, practice and the professions and brings together the expertise and excellence of City, University of London and St George’s, University of London into one institution. The combined university is now one of the largest higher education destinations for London students, combining a breadth of disciplines across health, business, policy, law, creativity, communications, science and technology. Our students are at the heart of everything that we do, and we are committed to supporting them to pursue their career and personal ambitions.
Our research is engaged, at the frontier of practice and has a positive impact on the world around us.
** Background
We are seeking a talented postdoctoral researcher to support the development of innovative digital solutions for sustainable building renovation within the Horizon Europe REMADE project. The successful candidate will contribute to the development of an Integrated Digital Building platform that combines Building Information Modelling (BIM), Artificial Intelligence (AI), cloud computing, IoT technologies, and real-time data analytics. Working with an international consortium of academic and industry partners, you will help create smart building management tools that improve energy efficiency, occupant comfort, and operational performance.
** Responsibilities
You will develop BIM-based digital twin models for building renovation projects, integrating data from IoT devices, sensors, mobile applications, and external sources to support intelligent building management. You will contribute to cloud-based platforms and AI-enabled solutions for energy efficiency, HVAC optimisation, predictive maintenance, and smart building operations. Working closely with academic and industry partners, you will support data integration, pilot demonstrations, testing and validation activities, and contribute to project deliverables, technical reports, publications, and dissemination activities.
The postholder will be expected to undertake regular international travel to participating countries to support project meetings, research activities, site visits, demonstrations, and collaborative engagements with consortium partners and stakeholders.
** Person Specification
You will hold, or be nearing completion of, a PhD in Digital Construction, Computer Science, Civil Engineering, Building Engineering, Data Science, Artificial Intelligence, or a related discipline. You will have experience in BIM and digital construction, digital twins, AI and machine learning, cloud computing, IoT integration, or data analytics and visualisation, together with strong programming skills in Python, JavaScript, C#, or similar languages. You will demonstrate excellent communication and teamwork skills, with desirable experience of smart buildings, cloud platforms, APIs, databases, and collaborative research projects.
** Additional Information
Closing date for applications: 20 September 2026 at 11:59pm
For more information about the role, please refer to the job description.
This post is offered on a permanent contract, reflecting the University’s commitment to providing greater stability for research staff. The role is funded through external research funding, which is currently confirmed for 24 months.
City St George’s offers a sector-leading salary, pension scheme and benefits including a comprehensive package of staff training and development.
City St George’s, University of London is committed to promoting equality, diversity and inclusion in all its activities, processes, and culture for our whole community, including staff, students and visitors.
We welcome applications regardless of age, caring responsibilities, disability, gender identity, gender reassignment, marital status, nationality, pregnancy, race and ethnic origin, religion and belief, sex, sexual orientation and socio-economic background. City St George’s operates a guaranteed interview scheme for disabled applicants.
The University of business, practice and the professions
Education
Postgraduate Degree
Skills
Digital twinsBIMArtificial intelligenceMachine learningCloud computingIoT integrationData analyticsPythonJavaScriptC#Building engineeringData scienceEnergy efficiencyHVAC optimisationPredictive maintenanceTechnical reporting