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Closed for application
C42.CU-Gamma.03

Integrated IoT and AI Solutions for Climate-Resilient and Sustainable Environments

  • Reference person
    Federico
    Dallo
    (federico.dallo@cnr.it)
  • Host University/Institute
    Consiglio Nazionale delle Ricerche
  • Internship
    N
  • Research Keywords
    Technology and territory
    Climate-resilient smart environments
    Air pollution and indoor environmental quality
  • Reference ERCs
    PE10_1 Atmospheric chemistry, atmospheric composition, air pollution
    PE6_12 Scientific computing, simulation and modelling tools
    SH7_6 Environmental and climate change, societal impact and policy
  • Reference SDGs
    GOAL 3: Good Health and Well-being
    GOAL 9: Industry, Innovation and Infrastructure
    GOAL 11: Sustainable Cities and Communities
  • Studente
  • Supervisor
  • Co-Supervisor

Description

This research focuses on the development of integrated technological solutions to support sustainable territorial transitions, with particular attention to climate resilience and public health. The project combines IoT-based environmental monitoring, wireless sensor networks (WSN), and advanced data analytics using artificial intelligence and machine learning (AI/ML) to collect, process, and interpret high-resolution environmental data. A key objective is the development of predictive models to assess the impact of climate hazards, such as air pollution and heatwaves, on human health, building on existing models for indoor exposure. The research also explores the use of large language models (LLMs) to create user-friendly interfaces that facilitate access to complex environmental information for both experts and non-expert stakeholders. Through collaboration with local authorities and industry partners, the project aims to translate scientific results into practical solutions, including technologies for improving indoor air quality while optimizing energy efficiency and thermal comfort. By integrating technological innovation with territorial needs, the research contributes to the design of resilient, healthy, and sustainable living environments.

Suggested skills:

The candidate should be motivated to contribute to positive societal impact, open-minded, and inclusive, with a strong STEM background. Experience in computer science, data analysis, and modeling is highly desirable. Knowledge of environmental sciences, epidemiology, or public health would be an added value. Strong problem-solving skills and the ability to work in interdisciplinary and collaborative environments are essential. Proficiency in English is required; knowledge of additional languages is not mandatory but may be beneficial for stakeholder engagement.

Research team and environment

I am establishing a dedicated laboratory at ISP-CNR in Bologna focused on Health, Environment, and Technology. The lab currently hosts a postdoctoral researcher with expertise in chemistry and computer science. One additional postdoctoral researcher will be recruited within the healthRiskADAPT project to develop co-created strategies for urban resilience in collaboration with municipalities. The lab benefits from strong international collaborations (e.g., UC Berkeley, University of Sydney) and an extensive Horizon network, alongside industry partnerships (e.g., FIAMM, Lucam-Air) supporting applications in environmental monitoring, smart control, energy efficiency, and indoor air quality.