Deadline: 31-Oct-2025
The ENFIELD is accepting applications to fund mobility-based research exchanges for individual researchers through its 4th Exchange Scheme Open Call, also known as TES#4.
The main objective is to address specific scientific and technological challenges in AI, focusing on the development of Green, Adaptive, Human-Centric, and Trustworthy AI. These research efforts are to be applied across industrial domains such as Energy, Manufacturing, and Space.
Foundational Research Challenges – Green AI: Technological Symbioses and Rebound Effects with AI Green AI Indexing for Efficient Image and Point Cloud Retrieval Energy-Efficient Multi-Agent AI for Code Generation in Digital Twin Understanding How Green is Physics-Informed Machine Learning?
Adaptive AI: AI-Enhanced Visual Understanding for Inspection and Maintenance Efficient Continual Learning Systems Lifelong Learning and Fine-tuning in LLMs Flexible plastics sorting system based on the combination of multiple vision sensors and adaptive AI Batch pattern mining in industrial signals
Human-centric AI: Empowering Human-AI Decision-Making through Real-Time User Modeling Interpretability and uncertainty in predictive models Human-Centric Explainable AI for Critical Digital Infrastructure Human-Centered Causal Machine Learning for Real-World Decision Support Explainable AI Methods for Human-AI Decision Making
Trustworthy: AI Security and Robustness of AI systems Privacy and Compliance of AI systems AI in Distributed systems Enhancing User Trust in AI-powered Chatbots using UB Trustworthy ML based scheduling for the energy domain Unified approach to assess safety and security of AI systems LLM Safety and Security
Energy: AI for Green Energy curtailment minimization Explainable fault detection and classification in power grids Combine AI with LLM for clear human interaction with complex data LLM based data queries and visualization
Manufacturing: Adversarial Robustness Metrics and Evaluation for AI-Driven Safety Systems Bias-aware People Detection: Quantifying and Mitigating Dataset and Model Biases Towards Safety Certification Explainable Uncertainty-Aware Decision-Making for AI Systems in Manufacturing Multimodal AI for Human-State Monitoring IDM-Egocentric perception for shop-floor operators
Space: 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 Advancing Eelgrass Monitoring Using Stationary High-Altitude Balloons and Hyperspectral AI-based Earth Observations Enhancing natural disaster response through satellite-based earth observation and language models.
The call is open to researchers or groups of two researchers from EU Member States or Horizon Europe Associated Countries. Eligible applicants include PhD candidates, post-docs, and senior researchers who are employed at a university, research center, or business entity in Europe. The exchange projects are short-term, lasting from 3 to 6 months. Selected researchers will have the opportunity to conduct top-level research and network with experts. The program offers financial support of up to €14,400, which is a monthly mobility allowance of €2,400 for up to 6 months. The deadline for application is 31 October 2025.
For more information, visit ENFIELD.