IndTech Brokerage Event on April 1
Co-applying a Horizon European Research Proposal with Young Researchers
Are you a young researcher with groundbreaking ideas? Or an industry leader looking for the right partners to co-apply for European-funded projects? This is your chance to connect, collaborate, and secure funding!
IndTech Graduate School is organizing the brokerage event, co-applying a Horizon European Research Proposal with Young Researchers.
The young research from IDT and EST schools of Mälardalen University will present a well-formulated proposal and potential partners in the brokerage event, If you are struggling to apply for a European-funded project, whether it is to find partners, identifying the right call and expand your network. You have two hours to interact with them for matchmaking, networking and exchange.
You can also join the lecture from the senior research managers regarding the experience and knowledge, everything you need to know about applying for the European Horizon project before the brokerage event. (9:30-10:30)
Time: Time: April 1. 2025 10:30-13:30, Location: MDU, Hus U,Room: My (Floor 1)
Proposal I: Trust-GenAI
HORIZON-CL4-2025-04-DATA-02: Empowering AI/generative AI along the Cognitive Computing continuum (RIA) (AI/Data/Robotics Partnership)
- Develop innovative AI-enabled Cloud and Edge solutions that ensure seamless, secure integration across Cloud, Edge, and IoT environments.
- Support generative AI and large language models through distributed training and inference, while optimizing energy efficiency and resource utilization.
- Foster industrial collaboration across the cloud-edge-IoT continuum to enhance strategic autonomy and ensure international interoperability.
- Incorporate advanced hardware, virtualization techniques, and robust security measures to uphold privacy and trust in AI applications.
Trustworthy GenAI could-Edge, and IoT development
- Ensuring secure, seamless integration of heterogeneous computing resources across Cloud, Edge, and IoT environments.
- Supporting distributed training and inference for generative AI and LLM while optimizing energy efficiency and resource utilization.
- Continuous monitoring of trustworthiness-related risks in GenAI Cloud Technologies
- Implementation of trust-related regulations based on GDPR and AI-ACT
- RISE- (Distributed AI-Privacy and security) Sweden
- MDU- (Trustworthy- LLM) Sweden
- Scaleout (Distributed AI Framework)- Sweden
- Universal Robats (Coboot)- Denmark and Sweden
- Matricks GmbH (Safety and Security Assement) – Germany
- Sensative (Leading Supplier of IoT Solutions)- Sweden
- Eindhoven University (Distributed AI- Netherland)
- Coventry University (Generative AI, 5&6G-UK)
- NXP Hardware company (IoT-Edge device- Germany)

Proposal II: ReIWES (Reliability of Wind Energy Systems)
CL5-2025-05-D3-07: Improved reliability and optimised operations and maintenance for wind energy systems
- Tools for reliability prediction
- Reliability in wind energy systems and components to reduce risk and uncertainties
- Tools for condition and health monitoring, failure mode, diagnostics
- Validation of new components, sensors
- Integration of AI and ML in decision making and operation analysis
- Detailed component-level simulation
- System-level integration and simulation
- Risk prediction through condition monitoring
- Data availability, importance, and relevance
- Tool acceptability
- Real-life data and test cases
- Physics-based component modelling
- System-level modelling/integration and simulation
- Data-driven modelling
- Software development for integration
- Risk prediction and diagnostics
- Domain experience: system operation/ material-component selection
- Cyber security assessment

Proposal III: CEA Explorers
Exploring the potential of controlled environment agriculture (CEA)
- Comprehensive understanding of CEA: technology, trade-offs, sustainability, societal/environmental impacts, and policy.
- Advancing knowledge on CEA sustainability across economic, environmental, and social dimensions (profitability, energy efficiency, GHG emissions, circularity, etc.).
- Identifying novel crop varieties and exploring next-gen CEA systems.
- Promoting adoption, expansion, and implementation of CEA best practices.
- Optical sensing
- AI and IOT
- Nutrient recovery
- Solar energy
- Comprehensive understanding of CEA: technology, trade-offs, sustainability,societal/environmental impacts, and policy.
- Advancing knowledge on CEA sustainability across economic, environmental, and social dimensions (profitability, energy efficiency, GHG emissions, circularity, etc.).
- Identifying novel crop varieties and exploring next-gen CEA systems.
- Promoting adoption, expansion, and implementation of CEA best practices.
- MDU EST
- MDU IDT
- Wageningen
- Agtech Companies
- CEA farms

This event is affiliated with the IndTech Graduate School course: Writing a Horizon European Project Proposal
Course information
The purpose of the course is for the doctoral students to get involved and gain experience in leading research applications to Horizon Europe.
The course includes:
Lectures on Horizon Europe and methods for coordinating and writing applications for collaborative, industry-research applications. Training to acquire skills for and experience of Horizon Europe and method for coordinating and writing applications. To get the PhD students to coordinate and lead an application, involve companies and researchers. To write an application that can be submitted to the course. Create an account on the portal, how to find a topic (Topic) through the “seek funding” function, reflect on how to create a consortium, actually do this, and in writing: how to meet the Section 1 criteria and SMART objectives, How to formulate outcomes and wider impact – vs results, how to write so that the evaluator can follow the thread in each direction, how to formulate work packages, familiarizing with the WBS.
IndTech Partner Volvo sponsors this course through Volvo APP funding.