Sweden – Training services – Utbildning certifierad Informationsarkitekt

Expected Outcome: Europe's first long-term VET provider network for semiconductors; a larger and more diverse pool of qualified technicians; and increased intra- and extra-EU mobility of students and workers to fill skills gaps in semiconductor facilities. Scope: This call supports the establishment of a European-level federation of Vocational Education and Training (VET) providers focused on semiconductor industry roles. Projects should develop industry-aligned micro-credentials and reskilling programmes, with a strong emphasis on workers transitioning from other industrial sectors and on cross-border recognition of qualifications.

Expected Outcome: Practical chip design experience integrated into education at multiple levels; at least 1,000 students across Europe completing funded tape-outs over 4 years; stronger reskilling pathways for students from adjacent fields; and a sustainable, continent-wide pipeline of chip design talent to support Europe's semiconductor ambitions. Scope: This call funds a comprehensive Chip Design Skills Programme to lower barriers to entry in chip design and tape-outs. At least 60% of the budget must support hands-on tape-out experiences (via multi-project wafers) for university and secondary school students.

Expected Outcome: project results are expected to contribute to all of the following outcomes: complementing national programmes whose purpose is to ensure a sufficient and competent nuclear workforce. The action will generate EU added value by supporting coordination, sharing best practices and creating a single point for nuclear education and training at the EU level; enhancing nuclear careers by promoting Euratom competences in the fields of nuclear safety, security, safeguards, radioactive waste management and radiation protection; making them available through a higher number of attractive education programmes; and expanding mobility opportunities and job perspectives (including giving access to world-class infrastructure); advancing nuclear education and training through strategic actions for the safe implementation of AI; making nuclear education more attractive and disseminating information to communities of various profiles and ages, including for experienced professionals from adjacent industries (e.g. manufacturing industries) interested in continuing developing their career in the nuclear field. Scope: the purpose is to support the programme’s objective of maintaining…

Expected Outcome: Projects should contribute to all the following expected outcomes: Enhanced understanding, accompanied by documented good practices, showing what works to encourage multilingualism in society and what type of practices have led to safeguarding linguistic heritage, including lesser used, endangered and historically marginalised languages. Rigorous policy-relevant evidence, strategies and policy recommendations for promoting multilingualism and safeguarding linguistic diversity are available to policy makers, and users are involved in their development, especially the younger generation. Non-linguistic benefits of language maintenance and revitalisation are well documented, communicated and understood by different stakeholders. Citizens are empowered and engaged in the sustainable management of their own linguistic heritage and resources, with a focus on intergenerational dialogue and education activities, with particular attention to communities where oral transmission is the primary mode of language preservation. Maps and visual presentations showing the linguistic diversity in Europe are available, including a variety of existing languages (regional and minority…

Expected Outcome: Proposals are expected to contribute to one or more of the following: Robust AI models and systems capable of resisting different classes of adversarial manipulation; Innovative defence mechanisms for AI models and systems against new attack families; Methodologies for detecting and mitigating attacks, such as data poisoning, backdoor exploitation and misclassification; AI systems leveraging privacy-enhancing technologies that maintain data confidentiality and regulatory compliance, enabling trusted in-house AI deployments (e.g., for governments and enterprises). Scope: The increasing reliance on AI in cybersecurity, critical infrastructure, and decision-making processes raises concerns about the security and robustness of AI systems. As AI systems become more prevalent, they are increasingly targeted by adversarial attacks that manipulate inputs, compromise training data, or introduce hidden vulnerabilities. This topic aims to strengthen the resilience of AI systems and algorithms against various threats and attacks, such as enhancing their resilience against adversarial attacks, backdoor injections, and data poisoning. Proposals should develop real-time anomaly…

Expected Outcome: Proposals should contribute to the first two expected outcomes, and either the one listed under Focus 1, or the one listed under Focus 2. The potential of art-science and/or technology collaborations to address societal challenges and drive innovation is better understood. Guidance, toolkits, and actionable methodologies are developed to promote these collaborations, providing policymakers, professionals, and training organisations with clarity on intervention scope, applicability across various fields, and evaluation methods, metrics, or tools. New and existing national, European or international networks for art-science-technology collaborations are established or strengthened, expanding opportunities for artists to engage with science and technology. Focus 1 Approaches, methodologies and model interventions for integrating arts and creative practices to enhance soft skills across public and private sectors are developed, tested and disseminated. Focus 2 The effectiveness of critical artists’ engagement in interdisciplinary teams is demonstrated alongside the assessment of the viability of research-intensive emerging technologies through at least three low…

Expected Outcome: Expected outcomes: A sustained pipeline of highly qualified semiconductor graduates, with shorter time-to-readiness for industry roles; greater inflow of diverse talent including women and underrepresented groups; improved intra- and extra-EU student mobility; and strong complementarity with existing Chips Act infrastructure such as pilot lines, design platforms, and Competence Centres. Scope: This call funds the creation of specialised academic "Hubs of Excellence" in critical semiconductor technology areas (e.g. chip design, manufacturing, photonics, power electronics). Projects should build industry-aligned Bachelor, Master, and PhD programmes.

Expected Outcome: 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 of AI infrastructure. Structured collaboration between buyers and suppliers, supporting deployment, integration and optimisation of European AI compute solutions. Stronger EU demand for European AI chips and racks, helping to create a market for deployment-ready solutions. Increased EU technological sovereignty across the AI compute stack for European datacentres.

Advancing Oil and Natural Gas Production and Delivery This Notice of Funding Opportunity (NOFO) is seeking proposals to advance cost-effective technologies for improving the efficiency, reliability, and resilience of the Unites States oil and natural gas supply chain. This funding opportunity spans research and development efforts focused on enhancing resource utilization, modernizing infrastructure, and accelerating digital transformation within the sector.

The Federal Transit Administration (FTA) announces the opportunity to apply for competitive awards totaling up to $10 million in Public Transportation Innovation Program (49 U.S.C. 5312) funds for the Fiscal Year (FY) 2026 Bus Safety, Accessibility, and Innovation Research Program under Assistance Listing Number 20.530. As required by Federal public transportation law, funds will be awarded competitively to up to two projects to develop and prototype innovative and widely deployable concepts that are intended to make existing and new buses safer for their operators and vulnerable road users, and safer and more accessible for their passengers.