CFPs: ENFIELD – European Lighthouse to Manifest Trustworthy and Green AI

Objectives

• ENFIELD aims to create a unique European Centre of Excellence that excels in fundamental research in the areas of Adaptive, Green, Human-Centric, and Trustworthy AI. These pillars are strategic and of paramount importance to successful AI development, deployment, and acceptance in Europe and will further advance the research within verticals of Healthcare, Energy, Manufacturing, and Space by attracting the best talents, technologies, and resources from worldclass research and industry players in Europe, and by carrying out toplevel research activities in synchronisation with industry challenges, the ENFIELD project will contribute to reinforce a competitive EU position in AI and create significant socioeconomic impact for the benefit of European citizens and businesses.

Types of Challenges

• Green AI:
  • Green Generative Language Models
  • Green AI in the Edge-to-Cloud Continuum
  • Green AI Metrics
• Adaptive AI:
  • Adaptive AI on the Edge – Hardware Aware Differentiable Architecture Search
  • Adaptive AI on the Edge – Resources-constrained Training
  • Adaptative Robustness and Trustworthiness
  • Brain-inspired AI – Developing intelligent systems that are effective and efficient continual learners
  • Brain-inspired AI – developing intelligent systems that are better in generalization and robustness
• Human Centric AI:
  • Evolving Symbolic Models for Decision-Making
  • User Perspectives on Explainable AI
  • Child-Centric AI for Personalized and Safe Educational Voice Assistants
  • Novel Explainable AI Methods for Decision Making
• Trustworthy AI:
  • Secure Voice Biometrics with Fake Voice Detection
  • Non-linear models for multivariate time series (vertical federated learning)
  • Security and Robustness of AI systems
  • Privacy and Compliance of AI systems
  • AI in Distributed systems
• Verticals:
  • Healthcare: ICU readmission analysis and support
  • Energy: Systemic and Local explainer of the system dynamic behavior
  • Manufacturing: Context-agnostic human detection in robotic cell, Self-X Integration in manufacturing domain.

Funding Information

• A total budget of 1.100.000€ is allocated by ENFIELD for funding the participation of at least 76 researchers/groups of researchers in Exchange Schemes Open Calls. This second call is expected to fund 19 researchers/groups of researchers.
• Successful applicants will receive a mobility allowance of 2.400€/month. The maximum grant allocated to a researcher will be 14.400€ (corresponding to 6 month).
• All payments will be subject to tax and other reductions according to the laws of all involved countries. Tax and other reductions are the responsibility of the applicant.

Eligibility Criteria

• To be eligible, proposals must be presented by an individual researcher or a group of researchers, meeting the following criteria:
  • Researchers must be based in EU Member States or Horizon Europe associated countries.
  • Researchers must be employed at academic or research organizations, which are not part of the ENFIELD consortium. Researchers from ENFIELD partner organizations are not eligible.
  • Applications need to be submitted by the deadline of the call. Late applications will not be admitted.
  • Applications must be submitted in English. Applications submitted in any other language will not be eligible.
  • All applications must include a 2-minute video from the applicant presenting themself (or the group of researchers), to be submitted in English. Applications submitted without the video or with a video in any other language will not be eligible.
  • Project duration is limited to a minimum of 3 months and a maximum of 6 months.
  • PhD candidates need to demonstrate their enrolment in a PhD programme.
  • Post-docs or senior researchers need to demonstrate their employment at a university, research centre, or business entity.
  • In case of a group of researchers applying, the team needs to be composed by at least one PhD candidate and one post-doc/senior researcher.
• Eligible applications will be evaluated according to four criteria:
  • Advanced state of the art: applicants shall demonstrate to what extent their exchange application is beyond the state-of-the-art and describe the unique approach behind it (e.g., novel concepts and methodologies, development between or across disciplines, novel methods and algorithms addressing societal challenges).
  • Scientific approach: applicants must demonstrate the feasibility of the proposed research methodology and working arrangements.
  • Dissemination and communication: applicants must present a credible plan for dissemination and communication activities, which must include methods (e.g., publications, presentations, workshops and/or webinars) and the targeted audiences.
  • Technical and creative capacities: competences and skills of the researcher involved in the proposal; capacity to carry out the activities for the proposed exchange scheme. Track-record in scientific publications and similar projects/domain. In case of applications submitted by a group, a statement on the complementarity of researchers is required.

For more information, visit European Commission.