Theme · updated 6 Nov 2026
Open and forthcoming EU calls on artificial intelligence, generative AI, data and robotics, across Horizon Europe, Digital Europe and other programmes. 24 open and 30 forthcoming, from the EU Funding & Tenders Portal.
The GroundWork Project "Regenerative living labs to improve soil ecosystem functions by adapting agricultural land use with livestock integration" addresses a critical environmental and economic challenge: currently, 60-70% of soils in the EU are degraded due to climate change and unsustainable agri
This action builds on the MSCA Doctoral Networks 2026 call (HORIZON-MSCA-DN-2026). The project results are expected to contribute to the following outcomes: For supported doctoral candidates: New research and transferable skills and competences in the application of AI in science, leading to improve
The successful proposal is expected to further contribute to the expected outcomes specified in topic HORIZON-CL6-2024-GOVERNANCE-02-01: European Partnership of Agriculture of Data, for continuation of the activities in line with already agreed outcomes. Scope: The objective of this action is to con
Projects are expected to contribute to all the following expected outcomes: Effective and innovative methods for gathering, sharing and using large data sets in energy applications for the purpose of training AI models while ensuring privacy and security. Advanced and - wherever possible - open-sour
The expected outcomes of this topic are : A common EU evaluation platform for AI chips and racks, with transparent KPIs, workloads and benchmark reports used for Chips JU selection and procurement decisions. First pilot deployments of European AI compute systems validated for EU sovereign partitions
The expected outcomes of this topic are : Functional demonstrators of working AI chip prototypes (PCB-level) designed by EU fabless companies and physically integrated with their system partners. Validation of AI chip solutions on a common EU evaluation platform (provided by the Topic X.B consortium
Projects are expected to contribute to the following expected outcomes: Advanced heterogeneous integration, particularly in 2.5D and 3D packaging and integrated photonics, to support AI functionalities. Standardised chiplet interfaces, enabling interoperability and fostering a dynamic chiplet ecosys
INTERNSHIP OPPORTUNITY TITLE OF INTERNSHIP: Hands-On AI & Data Science Internships LOCATION: Remote (Virtual) or On-Site at Informatics Institute of Middle East Technical University DURATION: 4 weeks ELIGIBLE CANDIDATES: Biology, Molecular Biology and Genetics, Engineering, and Biomedical - Bioinfor
Deployment of Artificial Intelligence and various AI-powered technologies as enablers for Cyber Hubs, CSIRTs, NCSCs, NIS SPOCs and others. Novel cybersecurity tools based on AI that have been developed, tested and validated in relevant conditions and made available to Cyber Hubs, CSIRTs, NCSCs, NIS
Support the adoption of market-ready innovative AI-powered cybersecurity solutions, including solutions developed in the framework of EU-supported research and innovation projects. Provide and deploy up to date AI-powered tools and services to organisations (in particular SMEs) to prepare, protect a
Secure Data Sharing Framework: Develop standardised and encrypted communication mechanisms to facilitate seamless data exchange between civilian and military stakeholders. These mechanisms should align with GDPR and other EU regulatory requirements. Early Warning Systems (EWS): Establish a European-
Proposals are expected to contribute to all of the following expected outcomes: society, end-users, industry and decision makers better understand, anticipate and address biodiversity impacts of Europe’s reindustrialisation and decarbonisation across the value chain, from the demand-side and the des
Integration of quantum computing into data pre-processing pipelines and learning workflows for data-heavy or computationally intensive tasks, demonstrating clear improvements in processing speed, computational complexity, modelling accuracy, and reduced sample requirements at scales achievable with
Industrial jobs are transformed through AI-based human-machine interactions (and skills linked to them) which enhance flexibility, inclusion, well-being, up-skilling, career evolution and knowledge sharing; Increased competitiveness and sustainability of advanced manufacturing industries by means of
Project results are expected to contribute to the following expected outcomes: Development of closed-loop scientific experimentation systems that integrate automation with AI-driven, trustworthy decision-making processes in existing laboratory environments; Accelerated scientific discovery with incr
Development of closed-loop scientific experimentation systems that integrate automation with AI-driven, trustworthy decision-making processes in existing laboratory environments; Accelerated scientific discovery with increased efficiency and reproducibility; Improved scientific productivity; Advance
Project are expected to contribute to the following outcomes: a sustainable operational model and reference blueprint for a Data Lab for Science linking with the European Open Science Cloud (EOSC) and the Resource for AI Science in Europe (RAISE), enabling researchers to accelerate the uptake of AI
Development and demonstration of AI-enabled electric autonomous mobility services (level 4) in urban traffic, improving safety, sustainability, data sharing and commercial scalability across cities, through a large-scale demonstrator integrating 5 - 7 co-ordinated city pilots in 5 or more Member Sta
The project will support the development of a modular, trustworthy and interoperable AI-enabled infrastructure enabling pan-European public-interest media platform(s) to make available real time news and information from professional media outlets across the EU and associated countries to wider audi
Projects are expected to contribute to the following outcomes: Strengthened Europe’s technological leadership and sovereignty in the energy sector. Market-ready AI-driven digital platforms and solutions with quantifiable minimal environmental impact, that enhance grid operation, renewable energy int
This topic aims to advance the scientific and technical foundations for the scaling of AI models, enhancing the performance of training and inference processes and providing European AI labs with the methodologies required to compete at the global frontier. Project results are expected to contribute
This topic aims at supporting activities that are enabling or contributing to one or several expected impacts of destination “Tackling diseases and reducing disease burden”. To that end, proposals under this topic should aim to deliver results that are directed at, tailored towards and contributing
This topic aims at supporting activities that are enabling or contributing to one or several expected impacts of destination “Developing and using new tools, technologies and digital solutions for a healthy society”. To that end, proposals under this topic should aim to deliver results that are dire
Payment arrangements : the student is paid by Aix-Marseille Université, according to the time spent in the hosting organism and declared in the time sheet for work placement payment. Maximum budget of this call : 210 000 euros Amount of monthly allowance for the traineeship : between 487,20 euros (
GRAIL aims to deliver the first European general-purpose Foundational Robotics Model (GFRM). The project's results will be validated across five industrial Use Cases — automotive, aerospace, intralogistics, steel and electronics, and scaled through more than 40 third-party projects funded across thr
Project results are expected to contribute to one of the following outcomes: Faster uptake of tailored and enhanced AI solutions at innovation hubs in low- and middle-income countries by training and optimising them with local data and applied research. Easier large-scale deployment of local AI solu
The Apply AI Strategy [1] proposes a comprehensive set of measures to notably harness the transformative potential of AI. It lays down targeted measures to boost AI use in key strategic sectors of the EU economy including healthcare, mobility and manufacturing for example. With challenges designed t
The Apply AI Strategy [1] also seeks to bolster EU capabilities and achieve excellence in AI to support the development of European frontier models. As part of the Frontier AI Initiative, which brings together Europe’s leading actors in the field, this topic will support the development of sovereign
Pilots for new technologies including demonstration sites which contribute to energy-efficient and sustainable AI data processing in data centres, reinforcing EU strategic autonomy and climate goals. Project results are expected to contribute to one or more of the following outcomes: Demonstrated in
Demand-side driven validation of open orchestration platforms across the telco-cloud edge continuum unlocking notably the transformative value of AI for European businesses, driving business growth in multiple industries strategic for Europe. Enabling the path towards sustainability and competitiven
The Apply AI Strategy emphasises acceleration pipelines to ensure a smooth transition from research to deployment of AI-powered robotics. Projects under this topic will deliver common frameworks and reusable building blocks that can serve multiple sectors and use cases, reinforcing Europe’s ability
Project results are expected to contribute to developing new approaches, tools and techniques that overcome the obstacles of today's centralised AI compute techniques: limits in the availability of energy and AI compute capacity in centralised standalone environments, limited availability of types o
Project results are expected to contribute to all the following expected outcomes: Advanced, secure frugal (energy-, resource-, data- and cost-efficient, sustainable) AI tools for real-time grid operations (including protection), market operations (if relevant) and consumer empowerment in distribute
Project results are expected to contribute to all of the following expected outcomes: innovative AI-based solutions provide advisors, farmers and foresters with comprehensive, tailored and impartial advice to farmers and foresters to support them in their decisions as well as on the selection of inn
Project results are expected to contribute to the following outcomes: Better overview of the identified opportunities and barriers of the EU’s current legal framework on intellectual property (patents, copyright, licenses etc.) for researchers to valorise knowledge resources provided and/or processe
Actionable and widely tested research-to-action pilot solutions in addressing complex cross-sectoral problems caused and/or exacerbated by climate change in key socio-environmental and socio-economic sectors. Innovative use of Artificial Intelligence (AI) by further development of the data lab infra
Proposals are expected to contribute to all the following expected outcomes: Increased resilience and sovereignty of critical European research data and knowledge repositories and scientific services used in the life sciences [1] , including in particular biomedical and biomolecular related discipli
Project results are expected to contribute to all of the following expected outcomes: Improved resource efficiency compared to current practices; Improved accuracy (designed vs. as-built) of on-site renovation and construction works, compared to current best practices; Significant reduction in time
Proposals are expected to contribute to one or more of the following: AI-driven solutions for real-time cyber threat detection; Advanced adaptive AI systems that evolve with dynamic cybersecurity challenges; Contribute to drastically reduce reaction time for the recovery of systems. Scope: Artificia
Proposals are expected to contribute to one or more of the following: Enhanced resilience against distributed cyber threats and adversarial attacks targeting interconnected systems, while preserving data privacy in highly dynamic and heterogeneous environments; Security solutions tailored to distrib
Projects results are expected to contribute to all of the following expected outcomes: Increased number of innovative and regenerative [1] planning and spatial design solutions that apply the New European Bauhaus (NEB) principles of sustainability, aesthetics [2] , and inclusivity [1] to reduce soil
Project results are expected to contribute to the following outcomes: Increasing the market footprint of European startups in strategic digital technologies and deep tech [1] innovation, including but not limited to Artificial Intelligence, Advanced Computing, Cybersecurity, Next Generation Internet
This topic aims at supporting activities that are enabling or contributing to one or several expected impacts of destination “Developing and using new tools, technologies and digital solutions for a healthy society”. To that end, proposals under this topic should aim to deliver results that are dire
This topic aims at supporting activities that are enabling or contributing to one or several expected impacts of destination “Developing and using new tools, technologies and digital solutions for a healthy society”. To that end, proposals under this topic should aim to deliver results that are dire
This topic aims at supporting activities that are enabling or contributing to one or several expected impacts of destination “Developing and using new tools, technologies and digital solutions for a healthy society”. To that end, proposals under this topic should aim to deliver results that are dire
AI has the potential to support or facilitate virtually every aspect of regions’ climate adaptation efforts. From risk assessment to climate forecasting, from infrastructure planning to resource management, and more . Contributing to the objectives of the AI Continent Action Plan and the EU Mission
Project results are expected to contribute to all of the following expected outcomes: farmers have increased access to digital tools and advice to improve their resilience to water and nutrient scarcity; farmers are better prepared for the Green Transition and EU’s new plan for sustainable prosperit
Project results are expected to contribute to all the following expected outcomes: an Artificial Intelligence (AI) tool able to accelerate the analysis of complex foodomics data to speed up the identification, structural characterisation, and quantification of chemicals present in food; improving ca
Projects should contribute to all of the following expected outcomes: The cultural and creative sectors and industries (CCSI) have access to a dedicated European virtual AI support platform. This hub will facilitate collaboration among a strong and open network of CCSI networks, professionals, resea
Projects should contribute to all of the following expected outcomes: Enhanced understanding of the impact of AI-driven technologies, including AI-generated deepfakes and automated content generation on equality, political participation, democratic processes, public trust, and social cohesion, with
Projects should contribute to all of the following expected outcomes: Provide policymakers and educators and parents with a solid understanding of the potential benefits, opportunities and challenges stemming from the use of artificial intelligence tools in learning environments in pre-primary and p
Projects should contribute to the first expected outcome, plus those under either Focus 1 or Focus 2, depending on the chosen focus Evidence-based policy recommendations and solutions for integrating cultural tourism into strategies for regenerative sustainability, environmental protection (for exam
Projects should contribute to all of the following expected outcomes: Key data gaps affecting the news media sectors at European level are addressed and all relevant stakeholders dispose of an updated and comprehensive knowledge base. Users’ consumption patterns of news are identified (online and of
Project results are expected to contribute to all of the following expected outcomes: Development of solutions integrating 5G networks, supported by advanced signal processing techniques (e.g. AI-Enhanced Signal Processing) to improve the accuracy of PNT systems, as GNSS backup solutions to enhance
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The list is built from the European Commission's public Funding & Tenders Portal search service and refreshed every Monday. Calls whose deadlines have passed are removed automatically, even if the portal still flags them as open. “Open” means you can submit now; “forthcoming” means the call has been announced but is not yet open. Budgets are the indicative topic budgets published by the Commission. Always read the official call documents before applying.