The ENFIELD consortium invites 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 under the following sub-topics :
GREEN AI
G-AI.1: Green AI Metrics
G-AI.2 Physics-Informed Machine Learning
G-AI.3 The Policy Landscape for Green AI
G-AI.4 Green Generative Language Models
G-AI.5 Energy-Efficient Large Language Models for Sustainable Software Engineering
G-AI.6 Green World Models
G-AI.7 Cooperative Multi-agent Green AI
ADAPTIVE AI
A-AI.1 Adaptive AI for Environmental Monitoring: Multimodal Data Fusion for Context Aware
Deployment
A-AI.2 Adaptive AI for Multimedia: Learned Compression and Real-Time Applications
A-AI.3. Adaptive AI on the Edge – Innovations for Resource-Constrained Systems
A-AI.4 -LLM on the Edge
A-AI.5 -Adaptive AI-Powered Digital Twin for Innovating Healthcare Security and Resilience
A-AI.6 Adaptive AI for Generalizable and Multimodal Semantic Reasoning
A-AI.7 Zero-shot large-scale biomedical entity matching and linking
A-AI.8 Parameter Efficient Algorithms for Foundation models
A-AI.9 Robustness and Generalization in single or multi-modal models
HUMAN CENTRIC AI
HC-AI.1 Interpretability and uncertainty in predictive models
HC-AI.2 Improving transparency and explainability of web-based AI systems through semi-structured natural
language descriptions
HC-AI.3 Explainable AI for Multimodal and Sequential Data Analysis in Physical and Chemical Processes
TRUSTWORTHY AI
T-AI.1 Security and Robustness of AI systems
T-AI.2 Privacy and Compliance of AI systems
T-AI.3 Trustworthy ML based scheduling for the energy domain
T-AI.4 AI in Distributed Systems
T-AI.5 Assessing Trustworthiness of Distributed AI Systems
T-AI.6 Brain-to-Speech Interface: From Neural Signals to Communication Restoration
T-AI.7 Secure Voice Biometrics with Fake Voice Detection
Researchers can also choose to address several verticals :
SPACE
VS.1 Synthetic dataset generation of foreign object debris on runways and FATOs
VS.2 Detection of potential water illegal abstractions using
Artificial Intelligence and Earth Observation
VS.3 Causal Machine Learning model to identify agricultural practices aiding in yield productivity improvement using Earth Observation (EO) data.
MANUFACTURING
VM.1 Context-agnostic Computer Vision human detection
VM.2 Machine Learning-based stress detection for human operators
Quantization and Pruning; Hardware Aware Architecture Search; On-Device Learning; Continual Learning (CL), Distributed AI; Edge-to-Cloud Orchestration; Lifecycle Assessment (LCA); Hybrid AI Models; Continual Learning Adaptation, Standardization of Green-AI Metrics; Energy-Efficient Architectures; Lifecycle Environmental Impact; Computational Efficiency; Cross-Disciplinary Collaboration, Incremental learning; Evolving systems; Concept drifts; Change adaptation; Robustness and Trustworthy AI, Generative AI; LLM; Big data, Voice spoofing; Biometric security; Speech signal processing; Robust authentication; Acoustic analysis, LiDAR (Light Detection And Ranging), XAI, Microgrids, Edge intelligence, Cloud, Geostationary Satellites
What is in for selected candidates ?
– 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.
The following researchers are invited to submit their proposals for ENFIELD Exchange Schemes:
• PhD candidates (who demonstrate their enrolment in a PhD programme).
• Post-docs and senior researchers who 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 a minimum of one senior researcher + one (or two) PhD candidate.
The ENFIELD – Exchange Scheme Open Call will fund projects implemented by individual researchers (or a group of researchers) from EU Member States or Horizon Europe associated countries.
