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  • About
    • Overview
    • People
    • Area Leaders
    • Resources
    • Documents and Reports
    • Careers
    • Contact Us
  • Education
    • Overview
    • 2023 Call for PhD Grants
  • Industry
    • Overview
    • Affiliates
    • Getting Involved
    • Host an MIT Student
  • Innovation
    • MIT Portugal Innovation Workshop 2025
    • MIT Portugal Innovation Workshop Reunion 2025
  • Research
    • Overview
      • Climate Science & Climate Change
      • Earth Systems: Oceans to Near Space
      • Digital Transformation in Manufacturing
      • Sustainable Cities
    • Competitive Calls
      • 2025 Call for Seed Grant Proposals
    • Funded Projects
      • 2024 @PT Call for Exploratory Proposals
      • 2024 Seed Projects
      • Flagship Projects
      • 2021 Exploratory Projects
  • Idea Sprints
  • Annual Conference
    • Annual Conference 2024
  • News + Events
    • Overview
    • News
    • Events
    • Graphic Identity
    • Media Gallery

Research

FUNDED PROJECTS

The MIT Portugal Partnership 2030 (MPP2030) is focused on promoting collaborative research between Portuguese universities, industry partners, and MIT, targeting research projects with the full potential to address complex challenges of global and societal impact.

On this page you will find information on projects that have been funded by past calls.

Climate Science
& Climate Change

  • Analyzing Environmental and Climate Records in Portuguese Speleothems using Ultra-high Sensitivity Magnetic Microscopy
  • Plasma-assisted CO2 Recycling: from Earth to Mars
  • Advanced Materials and Design Rules for Interface Engineering Towards a New Generation of Li-ion Batteries
  • Changing the Design Paradigm – 3D Printing on Molecular Texture in Plastics
  • Ionic Liquids and Porous Structures for CO2 Valorization
  • Exploratory Analysis of Biomimetic-inspired Oceanic Hyperloop Transport Infrastructures
  • Eutectic Systems as Sustainable Electrolytes for Energy Storage
  • Spatiotemporal Data Models and Algorithms for Earth and Environmental Sciences

Earth Systems:
Oceans to Near Space

  • Analyzing Environmental and Climate Records in Portuguese Speleothems using Ultra-high Sensitivity Magnetic Microscopy
  • Plasma-assisted CO2 Recycling: from Earth to Mars
  • Advanced Materials and Design Rules for Interface Engineering Towards a New Generation of Li-ion Batteries
  • Changing the Design Paradigm – 3D Printing on Molecular Texture in Plastics
  • Ionic Liquids and Porous Structures for CO2 Valorization
  • Exploratory Analysis of Biomimetic-inspired Oceanic Hyperloop Transport Infrastructures
  • Eutectic Systems as Sustainable Electrolytes for Energy Storage
  • Spatiotemporal Data Models and Algorithms for Earth and Environmental Sciences

Digital Transformation
in Manufacturing

  • Analyzing Environmental and Climate Records in Portuguese Speleothems using Ultra-high Sensitivity Magnetic Microscopy
  • Plasma-assisted CO2 Recycling: from Earth to Mars
  • Advanced Materials and Design Rules for Interface Engineering Towards a New Generation of Li-ion Batteries
  • Changing the Design Paradigm – 3D Printing on Molecular Texture in Plastics
  • Ionic Liquids and Porous Structures for CO2 Valorization
  • Exploratory Analysis of Biomimetic-inspired Oceanic Hyperloop Transport Infrastructures
  • Eutectic Systems as Sustainable Electrolytes for Energy Storage
  • Spatiotemporal Data Models and Algorithms for Earth and Environmental Sciences

Sustainable
Cities

  • Analyzing Environmental and Climate Records in Portuguese Speleothems using Ultra-high Sensitivity Magnetic Microscopy
  • Plasma-assisted CO2 Recycling: from Earth to Mars
  • Advanced Materials and Design Rules for Interface Engineering Towards a New Generation of Li-ion Batteries
  • Changing the Design Paradigm – 3D Printing on Molecular Texture in Plastics
  • Ionic Liquids and Porous Structures for CO2 Valorization
  • Exploratory Analysis of Biomimetic-inspired Oceanic Hyperloop Transport Infrastructures
  • Eutectic Systems as Sustainable Electrolytes for Energy Storage
  • Spatiotemporal Data Models and Algorithms for Earth and Environmental Sciences
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MIT Portugal Program
Universidade do Minho
Campus de Azurém,
4804 – 533 Guimarães
Portugal
info@mitportugal.org

MIT Portugal Program
77 Massachusetts Ave.
Building 33-326 
Cambridge, MA 02139
mitportugal@mit.edu

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