Project cooperationUpdated on 10 November 2025
Interest in projects requiring data collection and processing solutions
Research Coordinator at University of Jyväskylä (Kokkola University Consortium Chydenius)
Kokkola, Finland
About
We are interested in participating in project consortia where we could add value with our research related to IoT, smart sensor solutions, wireless data transfer, and data processing (AI, traditional statistical solutions, visualizations, etc.). Our strengths lie in both data collection and utilization.
We have developed and applied the above-mentioned solutions in a wide variety of environments, from industry to SMEs and the public sector. The solutions have been used, for example, in environmental, buildings, and traffic monitoring, as well as in monitoring solutions that promote biodiversity.
For more information about our research areas, please visit: https://cinetcampus.fi/en/research/tutkimusalat/
Topic
- HORIZON-CL4-2026-02-DIGITA-EMERGING-51: AI improved advanced manufacturing and production processes in factories
- HORIZON-CL4-2026-02-DIGITAL-EMERGING-53: Innovative AI methods and technologies for the process industries
- HORIZON-CL4-2026-04-DATA-06: Efficient and compliant access to and use of data
- HORIZON-CL4-2026-04-DIGITAL-EMERGING-08: Apply AI: Robotics for Manufacturing: Advancing Core Skills through Technical Challenges
- HORIZON-CL4-2026-04-DIGITAL-EMERGING-09: Advanced Local Digital Twins using AI for Early Warning and Preparedness
- HORIZON-CL4-2026-05-DIGITAL-EMERGING-02: Next-Generation AI Agents for Real-World Applications in the Apply AI sectors
- HORIZON-CL4-2026-05-DIGITAL-EMERGING-03: Apply AI: Next-Generation Agile and Intelligent Robotics Platforms for Industrial and Service Applications
Type
- Partner seeks consortium
Attached files
Organisation
Similar opportunities
Project cooperation
AI-driven digital platforms, system integration and decision-support for Horizon Europe projects
- Partner seeks consortium
- HORIZON-CL4-2026-04-DIGITAL-EMERGING-19: Challenge-Driven GenAI4EU Booster
- HORIZON-CL4-2026-04-DATA-06: Efficient and compliant access to and use of data
- HORIZON-CL4-2026-02-DIGITAL-EMERGING-53: Innovative AI methods and technologies for the process industries
- HORIZON-CL4-2026-04-DIGITAL-EMERGING-09: Advanced Local Digital Twins using AI for Early Warning and Preparedness
- HORIZON-CL4-2026-05-DIGITAL-EMERGING-02: Next-Generation AI Agents for Real-World Applications in the Apply AI sectors
- HORIZON-CL4-2026-04-DIGITAL-EMERGING-08: Apply AI: Robotics for Manufacturing: Advancing Core Skills through Technical Challenges
- HORIZON-CL4-2026-04-DIGITAL-EMERGING-01: Apply AI: Pilot of the “Science for AI” Pillar of RAISE (“Resource for AI science in Europe”)
Alba Zecca
Business Consultant at Quidgest - Consultores de Gestão S.A
Lisbon, Portugal
Project cooperation
Smart Robotics projects in unmanned systems and industrial systems
- HORIZON-CL4-2026-04-DIGITAL-EMERGING-09: Advanced Local Digital Twins using AI for Early Warning and Preparedness
- HORIZON-CL4-2026-05-DIGITAL-EMERGING-02: Next-Generation AI Agents for Real-World Applications in the Apply AI sectors
- HORIZON-CL4-2026-04-DIGITAL-EMERGING-08: Apply AI: Robotics for Manufacturing: Advancing Core Skills through Technical Challenges
- HORIZON-CL4-2026-05-DIGITAL-EMERGING-03: Apply AI: Next-Generation Agile and Intelligent Robotics Platforms for Industrial and Service Applications
Wilco Bonestroo
Associate Professor AI for Robotics at SMART at Saxion University of Applied Sciences
Enschede, Netherlands
Project cooperation
Efficient and scalable algorithms
- Partner seeks consortium
- HORIZON-CL4-2026-04-DATA-06: Efficient and compliant access to and use of data
- HORIZON-CL4-2026-02-DIGITAL-EMERGING-53: Innovative AI methods and technologies for the process industries
- HORIZON-CL4-2026-02-DIGITA-EMERGING-51: AI improved advanced manufacturing and production processes in factories
- HORIZON-CL4-2026-04-DIGITAL-EMERGING-09: Advanced Local Digital Twins using AI for Early Warning and Preparedness
- HORIZON-CL4-2026-05-DIGITAL-EMERGING-02: Next-Generation AI Agents for Real-World Applications in the Apply AI sectors
- HORIZON-CL4-2026-04-DIGITAL-EMERGING-08: Apply AI: Robotics for Manufacturing: Advancing Core Skills through Technical Challenges
- HORIZON-CL4-2026-05-DIGITAL-EMERGING-03: Apply AI: Next-Generation Agile and Intelligent Robotics Platforms for Industrial and Service Applications
Francesco Silvestri
Associate professor at AIDA Lab @ University of Padova
Padova, Italy