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Project cooperationUpdated on 8 April 2026

Partner Offer: Digital-Emerging-53

Research Manager at Lusofona University

Lisboa, Portugal

About

HORIZON-CL4-2026-02-DIGITAL-EMERGING-53-two-stage

Projects are expected to contribute to the following outcomes:
To develop and demonstrate innovative AI-driven solutions in materials and process development to enhance the competitiveness and sustainability of the process industries by better products and process technologies and reducing the time to market

Ob.1 - AI Solutions for Materials and Process Development:
- Process Innovation: The platform integrates machine learning models;
- Competitiveness and Sustainability: Accesses information on the three pillars of sustainability (economic, social and environmental)

To increase the competitiveness of materials production in Europe by AI-supported optimal operation of plants and value networks and early detection of problems and failures

Ob. 2 - Optimization of asset operation:
- Problem and Failure Detection
- Optimized Operation of Value Networks (Buying and selling between companies)
- Transparency and Trust (Asset data thoroughly scrutinized) To improve the working conditions in the plants by using AI
technologies, metaverse, and robots.

Ob. 3 - Improving Working Conditions (AI, Metaverse and Robotics):
- Risk simulators in the metaverse in symbiosis with AI
- Reducing Cognitive Load and Human Error

PI contact: Balduino Mateus, PhD (p5923@ulusofona.pt)

Topic

  • HORIZON-CL4-2026-02-DIGITAL-EMERGING-53: Innovative AI methods and technologies for the process industries

Type

  • Partner seeks consortium

Organisation

Lusofona University

University

Lisbon, Portugal

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