CFPs: Enfield – European Lighthouse to Manifest Trustworthy and Green AI Exchange Scheme

Deadline: 14 April 2025

The European Commission is inviting applications for the Enfield Exchange Scheme to attract top-level researchers to conduct foundational research activities related to specific scientific/technological challenges in artificial intelligence, contributing to Enfield network creation and expansion to European AI labs.

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.

Challenges

Pillars:
- Green AI:
  - Green AI Metrics
  - Physics-Informed Machine Learning
  - The Policy Landscape for Green AI
  - Green Generative Language Models
  - Energy-Efficient Large Language Models for Sustainable Software Engineering
  - Green World Models
  - Cooperative Multi-agent Green AI
- Adaptive AI:
  - Adaptive AI for Environmental Monitoring: Multimodal Data Fusion for Context Aware Deployment
  - Adaptive AI for Multimedia: Learned Compression and Real-Time Applications
  - Adaptive AI on the Edge – Innovations for Resource-Constrained Systems
  - LLM on the Edge
  - Adaptive AI-Powered Digital Twin for Innovating Healthcare Security and Resilience
  - Adaptive AI for Generalizable and Multimodal Semantic Reasoning
  - Zero-shot large-scale biomedical entity matching and linking
  - Parameter Efficient Algorithms for Foundation models
  - Robustness and Generalization in single or multi-modal models
- Human Centric AI:
  - Interpretability and uncertainty in predictive models
  - Improving transparency and explainability of web-based AI systems through semi-structured natural language descriptions
  - Explainable AI for Multimodal and Sequential Data Analysis in Physical and Chemical Processes
- Trustworthy AI:
  - Security and Robustness of AI systems
  - Privacy and Compliance of AI systems
  - Trustworthy ML based scheduling for the energy domain
  - AI in Distributed Systems
  - Assessing Trustworthiness of Distributed AI Systems
  - Brain-to-Speech Interface: From Neural Signals to Communication Restoration
  - Secure Voice Biometrics with Fake Voice Detection
Verticals:
- Space:
  - Synthetic dataset generation of foreign object debris on runways and FATOs
  - Detection of potential water illegal abstractions using Artificial Intelligence and Earth Observation
  - Causal Machine Learning model to identify agricultural practices aiding in yield productivity improvement using Earth Observation (EO) data.
- Manufacturing:
  - Context-agnostic Computer Vision human detection
  - Machine Learning-based stress detection for human operators

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 third 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 each researcher will be €14.400 (corresponding to 6 month).

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. If the selected applicant is a non-EU national and requires a work visa for the mobility period, all associated costs and responsibilities for obtaining the necessary documentation will be the sole responsibility of the applicant.
- 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 one PhD candidate and one post-doc/senior researcher.

Selection Criteria

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.

For more information, visit European Commission.