Delft University of Technology

Postdoc in Transdisciplinary Digital Twins for Climate-Smart and Health-Safe Cities – Delft University of Technology – Delft

Jobid=620620662001114210 (0.0198)

ph3Job description /h3 pCities worldwide are increasingly implementing Blue‑Green Infrastructure and Nature‑Based Solutions to address climate‑related challenges such as urban heat stress and flooding. While these interventions can improve urban resilience and liveability, they may also introduce new public health risks, including mosquito breeding and vector‑borne disease transmission. /p pThe UrbanHealthTwin project addresses this growing urban challenge by developing digital twin approaches for climate‑resilient and health‑conscious urban planning. The project integrates climate, water, urban, biological, epidemiological, and community knowledge into an explainable digital twin that supports evidence‑based climate adaptation decisions in São Paulo and Rotterdam. /p h3Your role /h3 pAs postdoctoral researcher, you will lead the development of the UrbanHealthTwin digital twin platform, integrating climate, hydrological, epidemiological, biological, and urban‑system models into an interactive and explainable decision‑support environment for climate adaptation and public health planning. /p pYou will coordinate digital twin activities across the wider international consortium and help ensure that the platform aligns with both scientific objectives and practical stakeholder needs. You will also investigate existing digital twin initiatives in Rotterdam and explore opportunities to connect and build upon ongoing city‑scale developments. /p pIn this role, you will: /p ul liLead the UrbanHealthTwin project and work package on Digital Twin for Urban Climate and Health Risk Integration. /li liDevelop knowledge‑graph‑based approaches for integrating heterogeneous datasets and models. /li liSupport simulation orchestration across hydrological, urban climate, epidemiological, and urban‑system models. /li liDesign interactive and explainable digital twin interfaces for policymakers, planners, public health professionals, and community stakeholders. /li liTranslate complex model outputs into accessible insights for scenario‑based climate adaptation decision‑making. /li liSupport the integration of probabilistic exposure and risk maps into digital twin workflows. /li liContribute to case studies involving urban heat islands, waterlogging risks, mosquito breeding risks, and climate adaptation scenarios. /li liTrain and support project stakeholders in digital twin concepts, tools, workflows, and interfaces. /li liCollaborate closely with academic and societal partners in the Netherlands and Brazil. /li liContribute to scientific publications, prototypes, and project deliverables. /li /ul h3Environment and collaboration /h3 pThe successful candidate will work within the Integral Design and Management Section of the 3MD Department, Faculty of Civil Engineering and Geosciences, TU Delft, and will be associated with the DigiConstruct Lab. /p pThe project brings together researchers and stakeholders from TU Delft, Leiden University, University of Groningen, institutions in São Paulo, and a broader network of urban and public health partners. The role offers opportunities to lead digital twin development, coordinate an international research work package, collaborate with urban and public health stakeholders, and contribute to prototypes, case studies, publications, and scientific outputs. /p h3Job requirements /h3 pWe are looking for a candidate with strong computational and interdisciplinary research skills, and an interest in climate adaptation and urban health challenges. You: /p ul liHold a PhD, or are close to completing a PhD, in a relevant field such as Computer Science, Data Science, Artificial Intelligence, Geomatics, Civil or Environmental Engineering, Urban Systems, Climate Adaptation, or a related discipline. /li liHave experience with digital twins, geospatial modelling, simulation workflows, semantic data integration, urban analytics, or decision‑support systems. /li liHave strong programming skills, preferably in Python and/or JavaScript. /li liAre comfortable working with geospatial and heterogeneous datasets. /li liHave experience with GIS and spatial data processing, including geospatial datasets, map layers, or web‑based mapping tools. /li liEnjoy collaborating across disciplines and working with researchers, policymakers, and stakeholders. /li liCommunicate clearly in English and can explain technical concepts to both technical and non‑technical audiences. /li liAre willing to travel to São Paulo for an extended research stay and collaborate closely with Brazilian project partners. /li liAre motivated to work in an international and transdisciplinary research environment. /li /ul pExperience with knowledge graphs, semantic web technologies, web development, urban climate modelling, epidemiological modelling, FAIR data principles, or climate‑risk mapping is considered an advantage. /p h3TU Delft as employer /h3 pTU Delft is a top international university combining science, engineering and design to address challenges in energy, climate, mobility, health and digital society. The university offers an international environment where research, innovation and societal impact are closely connected. /p h3Conditions of employment /h3 ul liDuration of contract is 24 months. Temporary. /li liAn excellent pension scheme via the ABP. /li liThe possibility to compile an individual employment package every year. /li liDiscount with health insurers on supplemental packages. /li liFlexible working week. /li liEvery year, 232 leave hours at 38 hours, with the option to sell or buy additional leave hours via the individual choice budget. /li liPlenty of opportunities for education, training and courses. /li liPartially paid parental leave. /li liAttention for working healthy and energetically with the vitality program. /li liSupport for relocation to the Netherlands, including services to help you prepare your move and settle in Delft. /li liA Dual Career Programme is available to support an accompanying partner with their job search in the Netherlands. /li /ul /p #J-18808-Ljbffr

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