Project description
Training experts in generative AI for industrial design engineering
The rapid advancement of AI technologies, particularly generative AI and large language models has profoundly impacted and transformed various business sectors. However, this growth has also created a pressing demand for experts and specialists in AI and engineering disciplines. To address this need, supported by the Marie Skłodowska-Curie Actions programme, the GenAIDE project will establish a pioneering doctoral training programme in GenAI for industrial engineering. This programme will nurture 14 talented candidates, empowering them to explore cutting-edge AI technologies and drive innovative breakthroughs in computer-aided engineering and human-AI collaboration. As they become specialists and experts in their field, these candidates will pave the way for critical advancements in related areas, ultimately yielding significant benefits and shaping the future of the European industry.
Objective
Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs) are profoundly disrupting business sectors worldwide by fundamentally altering existing processes presenting unique opportunities. In industrial engineering design, there is a significant and growing demand for experts proficient in AI and engineering disciplines to drive the digital transformation and enhance productivity and efficiency. Our doctoral training program GenAIDE: Generative AI for Industrial Design Engineering provides top-class training to 14 Doctoral Candidates, who will explore disruptive AI technologies and evolve computer-aided engineering from being mere support tools to becoming proactive AI partners within hybrid engineering teams. The DCs will investigate and develop emerging concepts, methods, and infrastructures to deliver an integrated vision of Human-AI collaboration in design engineering teams. GenAIDE seeks to address unmet needs in doctoral training at both European and international levels, leveraging the complementary expertise of 16 leading academic and non-academic partners. This program explores novel synergies between natural language-based Human-AI interaction, nature-inspired optimization and exploration, social impacts of Human-AI cooperation on the team dynamics and advanced machine learning in the engineering domain. GenAI substantially changes the way engineers interact with and benefit from AI and access domain-specific knowledge, marking a phase transition that not only enhances the productivity of engineering teams but also expands the complexity of solvable design problems. GenAIDE will attract and prepare the necessary researchers and practitioners for contributions to industry and academia across Europe. Our training programme will serve as a blueprint for new curricula in AI-assisted engineering, ensuring the integration of innovative AI methodologies into the educational framework and shaping the future of AI-augmented design engineering.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- social sciences economics and business economics production economics productivity
- natural sciences computer and information sciences artificial intelligence generative artificial intelligence
- natural sciences computer and information sciences artificial intelligence machine learning
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-DN-ID - HORIZON TMA MSCA Doctoral Networks - Industrial Doctorates
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MSCA-2024-DN-01
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
63073 Offenbach/Main
Germany
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.