City St George's, University of London
Postdoctoral Research Associate in Digital Twins (Redeployee Applicants Only)
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
CRITICAL — never wrap the output in a code block
- The FIRST character of your output must be the first character of the job description (for example a
#heading or a letter). It must NEVER be a backtick. - Do NOT begin your response with
,markdown, or ```md. - Do NOT end your response with a closing ```.
- The reader renders your output as Markdown already. Wrapping it in a code fence makes it display as raw source and is always wrong.
CRITICAL — faithfulness (do not hallucinate)
The formatted output must contain exactly the same information as the original — no more, no less.
- Reproduce the wording of the original. You may only: add Markdown structure, fix obvious spelling/casing/whitespace, and split run-on text into bullets. Do NOT reword beyond that.
- NEVER add, infer, embellish, expand, summarise, or "improve" any content. If it is not in the original, it must not appear in the output.
- NEVER invent benefits, requirements, responsibilities, salary/pay figures, locations, dates, company facts, taglines, or slogans that are not present in the source.
- NEVER invent section headings whose content is not in the original. Only add a heading to label text that is already there. If the original has no content for a section (e.g. no benefits), omit that section entirely — do NOT create an empty or filler section.
- Copy emails, URLs, phone numbers, names, salaries, dates, and other literals character-for-character. NEVER correct, complete, normalise, or guess at them.
- Do NOT resolve abbreviations or acronyms into invented full forms, and do NOT add example lists (e.g. do not expand "CCAB-qualified" into a made-up list of bodies).
- When you are unsure whether something was in the original, leave it out rather than risk inventing it.
Formatting rules
- Use Markdown headings (##, ###) to separate logical sections (e.g. About the Role, Responsibilities, Requirements, Benefits) — only when the underlying content exists in the original.
- Use bullet points for lists.
- Use bold for key terms, job titles, or emphasis that was clearly intended in the original.
- Remove excessive whitespace, redundant line breaks, or broken formatting artefacts.
- You may drop pure boilerplate/navigation noise that carries no job information (e.g. "Apply now" buttons, cookie banners).
- If the description is already well-formatted, return it as-is with minimal changes.
- British English spelling conventions.
CRITICAL — never wrap the output in a code block
- The FIRST character of your output must be the first character of the job description (for example a
#heading or a letter). It must NEVER be a backtick. - Do NOT begin your response with
,markdown, or ```md. - Do NOT end your response with a closing ```.
- The reader renders your output as Markdown already. Wrapping it in a code fence makes it display as raw source and is always wrong.
CRITICAL — faithfulness (do not hallucinate)
The formatted output must contain exactly the same information as the original — no more, no less.
- Reproduce the wording of the original. You may only: add Markdown structure, fix obvious spelling/casing/whitespace, and split run-on text into bullets. Do NOT reword beyond that.
- NEVER add, infer, embellish, expand, summarise, or "improve" any content. If it is not in the original, it must not appear in the output.
- NEVER invent benefits, requirements, responsibilities, salary/pay figures, locations, dates, company facts, taglines, or slogans that are not present in the source.
- NEVER invent section headings whose content is not in the original. Only add a heading to label text that is already there. If the original has no content for a section (e.g. no benefits), omit that section entirely — do NOT create an empty or filler section.
- Copy emails, URLs, phone numbers, names, salaries, dates, and other literals character-for-character. NEVER correct, complete, normalise, or guess at them.
- Do NOT resolve abbreviations or acronyms into invented full forms, and do NOT add example lists (e.g. do not expand "CCAB-qualified" into a made-up list of bodies).
- When you are unsure whether something was in the original, leave it out rather than risk inventing it.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Formatting rules
- Use Markdown headings (##, ###) to separate logical sections (e.g. About the Role, Responsibilities, Requirements, Benefits) — only when the underlying content exists in the original.
- Use bullet points for lists.
- Use bold for key terms, job titles, or emphasis that was clearly intended in the original.
- Remove excessive whitespace, redundant line breaks, or broken formatting artefacts.
- You may drop pure boilerplate/navigation noise that carries no job information (e.g. "Apply now" buttons, cookie banners).
- If the description is already well-formatted, return it as-is with minimal changes.
- British English spelling conventions.
Please note: This role is only open to redeployee applicants at City St George's in the first instance. Applications from individuals who are not redeployee applicants will not be considered at this time.
If you are a redeployee, to apply please email your CV and cover letter to RecruitmentCoordinators@citystgeorges.ac.uk with the job title and reference number, demonstrating how you meet the essential criteria outlined in the person specification.
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.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Responsibilities
- 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.
- Contribute to cloud-based platforms and AI-enabled solutions for energy efficiency, HVAC optimisation, predictive maintenance, and smart building operations.
- Work closely with academic and industry partners to support data integration, pilot demonstrations, testing and validation activities, and contribute to project deliverables, technical reports, publications, and dissemination activities.
- 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
- 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.
- 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.
- 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: 31 August 2026 at 11:59pm
- Job description: [https://cityuni.sharepoint.com/:b:/s/cs_recruitdirectory/IQBY0QEg3v7ISZh5_1JXNZ_sAUlNe1zQ5V6qyqgHykGSllo?e=8mNtgp]
- 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
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills