<div><h3>Research Assistant/Associate – Digital Twin Development</h3><p>Requisition ID: 29417</p><p>Location: Newcastle, GB</p><p>Contract Type: Fixed Term</p><p>Working Pattern: Full Time</p><p>Salary: Research Assistant: £33,951 to £36,636 per annum<br/>Research Associate: £36,636 to £46,069 per annum</p><p>Duration: 21 months</p><p>Benefits include a generous holiday package, the ability to buy additional leave days, a strong pension scheme, and various health and wellbeing initiatives.</p><h3>Overview</h3><p>We invite you to join the School of Engineering as a Research Assistant/Associate in Digital Twin Development. You will work in the NU‑DICE Lab and contribute to the WILSON Horizon Europe project, coordinating work with 15 EU partners.</p><h3>Key Responsibilities</h3><ul><li>Develop and implement modules for federated digital twin technologies, including dashboards for visualizing buildings, districts, and city‑scale data.</li><li>Connect diverse datasets and use cases (energy and non‑energy services) and collaborate with partners on federated data access mechanisms (IDS connectors and API).</li><li>Support the development of use cases by enabling data sharing and utilisation across domains.</li><li>Utilize the Newcastle Urban Observatory to demonstrate the federated digital twin approach and represent the university at project meetings across Europe.</li><li>Assist in testing research outcomes in WILSON living labs and large‑scale pilots, e.g., the Newcastle Helix.</li><li>Lead the technical development of digital twin interfaces, dashboards, and visualisation platforms for building, district, and city‑scale applications (for Research Associate).</li><li>Design and implement BIM/GIS/IoT data integration workflows, including IFC, geospatial, semantic, time‑series and operational datasets.</li><li>Develop federated digital twin approaches, including APIs, data access mechanisms, semantic interoperability workflows and data‑sharing processes.</li><li>Determine appropriate technical and research methodologies, contribute original ideas to the project’s digital twin architecture and demonstrators.</li><li>Attend and contribute to regular project update meetings, consortium meetings and technical partner meetings.</li><li>Contribute to the writing up of research, including reports, papers and presentations, and assist in grant applications.</li><li>Supply or coordinate own work with others, problem‑solve to achieve research objectives and support planning of the research.</li><li>Present research findings to project leaders and wider audiences, including conferences and publications.</li><li>Fetch, analyse, and interpret research data, draw conclusions, and supply input into dissemination.</li><li>Support the use of research resources, including laboratories and specialist equipment.</li></ul><h3>Qualifications & Experience</h3><ul><li>Knowledge of BIM, IFC, Open BIM, GIS and/or IoT data integration for built‑environment applications.</li><li>Experience in processing, managing and visualising heterogeneous datasets, including building, geospatial, sensor, time‑series or operational data.</li><li>Experience in scripting and data processing using Python or similar languages, including data cleaning, API integration and visualisation.</li><li>Attention to detail and ability to work at a high level of accuracy.</li><li>Strong presentation skills and ability to communicate complex information effectively.</li><li>Proven ability to analyse data, write‑up results and collaborate with colleagues.</li><li>Excellent IT skills in all major office applications.</li><li>Personal initiative and creativity to solve research problems.</li><li>MSc or near‑completion PhD in Building/Construction Informatics, Computing or Engineering (Civil, Architectural, Mechanical, Electrical) or related fields (for Research Assistant). PhD required for Research Associate.</li><li>Leadership and substantial contributions to federated digital twin dashboards (Research Associate). Awareness of Data Spaces governance, semantic interoperability frameworks, and research environments.</li><li>High analytical and problem‑solving capacity and strong communication skills (Research Associate).</li><li>Experience with conference presentations and high‑quality publications (Research Associate).</li></ul><h3>Attributes & Behaviour</h3><ul><li>Positive collaboration within a multi‑skilled research team.</li><li>Ability to negotiate, prioritise and meet multiple deadlines.</li><li>Commitment to continuous professional development.</li><li>Understanding of equality, inclusion and diversity best practice.</li></ul><h3>Contact & Application</h3><p>Please submit an up‑to‑date CV and a supporting statement outlining how you meet the essential and desirable criteria via the application link. For further information or informal discussion, contact Prof Mohamad Kassem (Mohamad.kassem@newcastle.ac.uk) or Dr Xiang Xie (Xiang.xie@newcastle.ac.uk). Newcastle University is an equal opportunities employer and a Disability Confident employer.</p></div>