Descrizione della Posizione Lavorativa

Position: Mid-level Researcher in Advanced Spatial Modelling of the Built Environment for Climate Adaptation and Resilience. Application deadline: July 21st, 2026.

We seek a motivated, well-organized researcher with expertise in Building Information Modelling (BIM), Urban Digital Twins (UDT) and climate-informed decision-support systems to advance climate adaptation and resilience in urban contexts. The successful candidate will develop modelling frameworks to support urban regeneration, scenario analysis and the assessment of climate risks and adaptation strategies across multiple spatial scales.

Role

The researcher will report to the REMHI Division Director and contribute to the design, development and application of spatial and computational models representing buildings, infrastructure and urban systems to evaluate their response to current and future climate stressors.

• Develop and deploy Urban Digital Twin frameworks and BIM-enabled workflows for digital representation, simulation and monitoring of buildings and infrastructure under climate stressors.
• Lead BIM–GIS interoperability tasks including data conversion, harmonization and visualization using open standards (e.g., IFC, CityGML, CityJSON, glTF/GLB, 3D Tiles).
• Create methodologies and semi-automated procedures to compute and visualize indicators and KPIs on climate resilience, energy performance, urban comfort and public space quality.
• Contribute to 2D/3D visualization environments and interfaces for comparing baseline and alternative urban regeneration scenarios.
• Work collaboratively with interdisciplinary teams across engineering, architecture, urban planning and digital technologies.

Requirements

• PhD in Civil Engineering, Architecture or a related discipline.
• Proven experience in BIM and digital twins for the built environment and familiarity with BIM standards (IFC, openBIM, ISO 19650).
• Hands-on experience with BIM software such as Revit, Autodesk Construction Cloud, Bentley or BlenderBIM, and with Common Data Environments (CDEs) and UDT architectures.
• Experience with BIM–GIS interoperability workflows and web/3D visualization tools (e.g., CesiumJS, Three.js, IfcOpenShell, Speckle) is an asset.
• Experience in urban/building-scale modelling, scenario analysis, climate risk and vulnerability assessment, decision-support tools and visualization for policy/planning is valued.
• Excellent command of English, strong communication and teamworking skills, and good organizational ability to manage multiple priorities.

Duration, compensation and benefits

• This opportunity is advertised internally and externally. Workplace: CMCC office in Caserta.
• Contract: Coordinated and Continuous Collaboration contract, starting on October 1st, for a duration of 12 months.
• Gross annual salary range: €29,000 – €39,000. Placement within the range will be based on relevant experience, seniority and technical skills using objective, gender-neutral criteria.
• Welfare package: €2,000 per year.
• Flexible working time according to internal policies and support for immigration if required.

Other information

CMCC Foundation is a cross-cutting scientific centre on climate change that pursues high-quality research, training and data-driven science to support policy and societal decision-making. The organisation values diversity and inclusion and aims to provide a professional environment for growth.

• Belonging to legally protected categories (ex L. 68/99) will be a preferential condition.
• Some fiscal benefits may apply to repatriated workers or foreign researchers who meet specific legal requirements (Dlgs 147/2015 or Dl 78/2010).
• Applicants must accept the CMCC Personnel Recruitment Rules and the Privacy Notice; application data will be retained for up to 1 year.

Requisiti

PhD in Civil Engineering, Architecture or related field; proven experience with BIM and digital twins; familiarity with BIM standards (IFC, openBIM, ISO 19650); hands-on use of BIM software (Revit, Autodesk Construction Cloud, Bentley, BlenderBIM); knowledge of CDEs, UDT architectures and visualization technologies; excellent English and teamwork/organizational skills.