Mid-level Researcher in Advanced Spatial Modelling Built Environment Climate Adaptation

Researcher in Advanced Spatial Modelling of the Built Environment for Climate Adaption and Resilience

Are you ready to join a dynamic and interdisciplinary team where your technical expertise and innovative mindset can directly contribute to advancing climate adaptation and resilience in urban environments? We are looking for a highly motivated and well-organized Researcher in Advanced Spatial Modelling of the Built Environment for Climate Adaptation and Resilience, with a background in Building Information Modelling (BIM), Urban Digital Twins (UDT) and climate-informed decision-support systems.

The ideal candidate has experience in the development and application of modelling frameworks to support climate adaptation, urban regeneration, and resilience planning. The position requires expertise in urban and building-scale modelling, scenario analysis, and the assessment of climate risks, vulnerabilities, and adaptation strategies across multiple spatial scales. The candidate should demonstrate familiarity with digital representations of the built environment, spatial analysis of buildings and infrastructure systems, and data-driven approaches supporting climate risk and resilience assessments.

Experience in climate risk assessment, urban systems modelling, decision-support tools, and visualization environments for policy and planning applications is considered a plus. Strong organizational skills, the ability to manage multiple priorities, and proactive engagement with interdisciplinary teams and external stakeholders are highly valued.

CMCC Foundation is a cross-cutting scientific research center on climate change and its interactions with the environment, society, the world of business, and policymakers. Our work aims to stimulate sustainable growth, protect the environment, and develop strategies for the adaptation and mitigation of climate change. CMCC's core objective is to conduct cutting-edge science, to train the next generation of scientists at both national and international levels, and to be a beacon for climate modelling.

CMCC pursues fundamental and applied science with utmost scientific integrity, prioritizing data-driven science and providing data, information, and research results that can support informed public debate and decision-making processes. To achieve climate research objectives at the highest international standards, we invest in training all our talents, and strive to create a workplace where everyone can excel. At CMCC you will find a strong, professional environment.

Join an inclusive community that values diversity, where every voice is heard and respected. Help foster a culture of innovation and societal change, where individuals from all backgrounds can thrive and succeed.

Over the last decade, CMCC has experienced extraordinary growth. We are now embarking on a new chapter of our journey that will further boost CMCC's global position in climate change research…Together!

The Researcher in Advanced Spatial Modelling of the Built Environment for Climate Adaptation and Resilience reports to the REMHI Division Director and is responsible for contributing to the development of advanced modelling and simulation approaches for assessing climate adaptation and resilience in the built environment. The role focuses on the design, development, and applications of spatial and computational modelling frameworks to represent buildings, infrastructures, and urban systems, and to evaluate their response to current and future climate stressors.

The Researcher will contribute to research and innovation activities related to urban environment modelling, scenario analysis, and performance assessment, supporting the evaluation of climate risks, vulnerabilities, and the definition of evidence-based adaptation strategies for urban regeneration across multiple spatial scales.

• Develop and implement Urban Digital Twin frameworks and BIM-enabled workflows for the digital representation, simulation, and monitoring of buildings and infrastructures under climate stressors;
• Lead BIM–GIS interoperability processes, including data conversion, harmonization, and visualization…