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2nd EXCHANGE SCHEME OPEN CALL

ENFIELD logo(only lighthouse)EC funded ENFIELD project has allocated 1.1M Euros to provide support to a total of 76 researchers to answer specific ENFIELD challenges through four rounds of exchange open calls. We invite researchers (PhD students, Post-docs and senior researchers) and groups of researchers to propose projects that address specific ENFIELD challenges and contribute to new AI research and applications. These projects will develop 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.

GENERAL INFORMATION

BUDGET

 

TIMELINE

2.400€/MONTH
MOBILITY ALLOWANCE

UP TO 21
GRANTED PROPOSALS

 

14/10/2024

2nd EXCHANGE SCHEME
OPEN CALL CLOSING DATE

3-6 MONTHS
DURATION OF ACTIVITIES

31/10/2025
TO FINISH ACTIVITIES

WHAT'S IN IT FOR YOU?

 

 

 

 

 

Opportunity to carry out top-level research activities in partnership with distinguished research institutions and industry entities. Chance to network and benefit from mutual exchanges, feedback and collaboration with peers and various experts in the AI field. 
  • up to 14.400€ in financial support (6 months). 
  • Visibility and promotion.
  • Possibility to benefit from a specific IPR strategy for promising exploitation opportunities.

WHAT ARE WE LOOKING FOR?

This Exchange Scheme Open Call was designed to attract the top-level researchers to conduct foundational research activities related to specific scientific and technological challenges raised by ENFIELD project.

G-AI.1: Green Generative Language Models
G-AI.2 Green AI in the Edge-to-Cloud Continuum
G-AI.3 Green AI Metrics
GREEN AI
A-AI.1 Adaptive AI on the Edge – Hardware Aware Differentiable Architecture Search
A-AI.2 Adaptive AI on the Edge – Resources-constrained Training
A-AI.3. Adaptative Robustness and Trustworthiness
A-AI.4 Brain-inspired AI - Developing intelligent systems that are effective and efficient continual learners
A-AI.5 Brain-inspired AI – developing intelligent systems that are better in generalization and robustness
ADAPTIVE AI
HC-AI.1 Evolving Symbolic Models for Decision-Making
HC-AI.2 User Perspectives on Explainable AI
HC-AI.3 Child-Centric AI for Personalized and Safe Educational Voice Assistants
HC-AI.4 Novel Explainable AI Methods for Decision Making
HUMAN CENTRIC AI
T-AI.1 Secure Voice Biometrics with Fake Voice Detection
T-AI.2 Non-linear models for multivariate time series (vertical federated learning)
T-AI.3 Security and Robustness of AI systems
T-AI.4 Privacy and Compliance of AI systems
T-AI.5 AI in Distributed systems
TRUSTWORTHY AI
PILLARS

VERTICALS
VH.1 ICU readmission analysis and support
VE.1 Systemic and Local explainer of the system dynamic behavior
HEALTHCARE
VM.1 Context-agnostic human detection in robotic cell
VM.2 Self-X Integration in manufacturing domain