Predictive Student Early Warning System Review and Development

Student Early Warning System Review and Strengthening

Sweden – Education and training services – Gymnasiala yrkesutbildningar för komvux

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: 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.

France – Vocational training services – POEC Métiers de l'industrie

Expected Outcome: Project results are expected to contribute to all the following expected outcomes: Availability and integration of advanced, trustworthy, energy-efficient perception systems, exploiting technological advancements of Generative AI (GenAI) to enhance situational awareness and support safe decision-making; Enhanced Vulnerable Road User (VRU) safety, based on elevated, more temper-proof perception and understanding of their behaviour and intention predictions; Enhanced robustness of CCAM systems - both on-board and on the infrastructure side - in critical situations due to their training, virtual testing and validation in scenarios generated by GenAI, complementing existing scenario databases for the testing and validation of CCAM systems; Enhanced understanding of the relevance and limitations of using GenAI for CCAM; Tools and harmonised approaches for the use of GenAI in mobility technology development, training and validation, as well as for systemic applications such as traffic management and remote control, integrating them into existing approaches. Scope: Pilots and demonstrations using Level 3 and 4 vehicle services face major challenges in perception and…