Open Calls
1st Exchange Scheme Open Call
About the Call
Through TES#1 (oc1-2024-TES-01), ENFIELD aims to fund mobility-based research exchanges for individual researchers to address targeted scientific and technological challenges in the field of AI, contributing to the development of Green, Adaptive, Human-Centric, and Trustworthy AI across industrial domains such as Energy, Manufacturing, and Space.
Objectives
This call seeks to support researchers (PhDs, Post-docs, Senior Researchers or Group of Researchers) willing to undertake short-term (3 to 6 months) research residencies within ENFIELD’s network of Centres of Excellence.
Selected applicants will contribute to foundational AI research aligned with one or more of ENFIELD’s four pillars and four industrial domains by responding to pre-defined scientific challenges listed in the official Catalogue of Challenges.
General Information
Call opening: 1 February 2024
Deadline for submission:31 March 2024, 17h00 CET Extended! 15 April 2024, 17:00 CET
Selected Projects
Project | Researcher(s) | Host Institution | Project Duration | Grant Awarded |
Democracy in the Age of Algorithm: Enhancing Transparency and Trust in AI-Generated Content through Innovative Detection Techniques | Igor Calzada | BME | 6 Months | 14.400€ |
Developing a framework for green AI practices | Maria Ulan | TELENOR | 6 Months | 14.400€ |
Information-theoretic analysis of generalization in deep learning | Linara Adilova | KNOW | 3 Months | 7.200€ |
AI-based Edge Control of Electric Vehicles in Low-Voltage Grids Considering Operational Issues in Green Energy Systems with High Penetration of Renewable Energies | Sajjad Fattaheian Dehkordi | INESC TEC | 6 Months | 14.400€ |
Hybrid AI Model for Mixed-Gas Sorption Upper Bounds | Eleonora Ricci | SINTEF | 3 Months | 7.200€ |
Improving Edge AI Performance by Federation and Adaptive Model Selection | Ismail Ari | NRS | 6 Months | 14.400€ |
Advancing World model Learning with Neural Cloned-Structured Causal Graphs | Tristan Manfred | SINTEF | 6 Months | 14.400€ |
Adaptive Intelligence in Multi-Agent Systems: When Collective meets DRL | Chuhao Qin | IMT | 6 Months | 9.600€ |
Advancing Power Grid Inspection with SCENE-Net 1.5 | Cláudia Soares; Diogo Lavado | EDP CNET | 6 Months | 28.800€ |
Implementing and Evaluating Trustworthy Distributed AI Systems and Models | Amanda Ericson | TUC | 5 Months | 12.000€ |
Constraints-Abiding Explainable Reinforcement Learning | George Vouros; George Papadopoulos; Piyabhum Chaysri | TU/e | 6 Months | 43.200€ |
A novel approach for AI detection content based on fine-tuned LLMs | Marco Murgia | NTNU | 6 Months | 14.400€ |
Explainability-driven decision support systems for small clinical datasets | Darian Onchis; Istin Codruta | UPB | 3 Months | 24.000€ |
AI-Driven Predictive Maintenance and Risk Management Approach for Machine Tools | Hakob Grigoryan | POLIMI | 6 Months | 14.400€ |
Detecting and Explaining AI Using Language-Image Contrastive Insights | Klemen Grm | NTNU | 6 Months | 14.400€ |
More Information on TES#1
Each selected researcher or research group will receive:
What We Offer
What We Are Looking for
The open call is designed to attract the top-level researchers to conduct foundational research activities related to specific scientific and technological challenges raised by ENFIELD project.
Foundational research activities
Green AI
Adaptive AI
Human-centric AI
Trustworthy AI
Who Can Apply?
Researchers or a group of researchers (2-3) based in EU Member States or Horizon Europe Associated Countries. This includes 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 Europe.
How to Apply?
Read all documents with special attention to:
Download relevant call documents:
Prepare your application:
Start your Application:
Submit before the deadline
Documentation
These are the necessary documents that will help you to get the best understanding of the Open Call requirements, application and selection process. We advise you to read them carefully before applying.
All the documents can be downloaded here.
Application:
Selected Applicants: