Open Calls

4^th Exchange Scheme Open Call (Closed)

About the Call

Through TES#4 (oc4-2025-TES-02), 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: 25 August 2025

Deadline for submission:
31 October 2025, 17:00 CET

Open Call Summary Report (Coming Soon)

Selected Projects Catalogue (TES#4)

Selected Projects

Project	Researchers	Host Institutions	Duration	Grant Awarded
Green AI Scene Graph Indexing for Efficient Drone Based Power Line Image	Reza Farahani	SINTEF	6 Months	14 400 €
How Green is Physics-Informed Machine Learning for Solar Power Forecasting?	Peter Pavlik	KNOW Center	3 Months	7 200 €
GenAIVulTwins: GenAI-Powered Trustable Vulnerability Assessment Framework	Leili Seyedeh Mirtaheri	NTNU	6 Months	14 400 €
XAI-Driven Trustworthiness in Federated AI	Reza Shahbazian	NTNU	6 Months	14 400 €
Formal Adversarial Testing of LLM-Generated Code for Industrial Robots	Yunus Emre Çogurcu	NTNU	6 Months	14 400 €
Profiling User Frustration for Transparent Adaptive Trust in Chatbots	Leonardo Germán Bonora	TUC	5 Months	12 000 €
Provable Policy-Driven Privacy Compliance	Patrick Indri	NTNU	5 Months	12 000 €
Verifiable Compliance for AI Systems: Bridging Theory and Regulation	Tamara Drucks	TUC	2 Months	12 000 €
Incremental Domain Adaptation of Sentence Representation Model	Vasudevan Nedumpozhimana	TU/e (co-host IMT)	5 Months	12 000 €
Energy-Efficient Secure Framework for 5G-WSN Environmental Monitoring	Ali Hassan Sodhro	IMT (co-host TU/e)	6 Months	14 400 €
Mechanistically-Grounded Adaptive AI	Riccardo Renzulli	TU/e (co-host IMT)	6 Months	14 400 €
ConfSort: Conformalized Vision Foundation Models for Plastic Waste Sorting	Soundouss Messoudi	IMT (co-host DTI)	6 Months	14 400 €
Rashomon-based Uncertainty-Aware Explainable AI for Time Series	Mustafa Cavus; Ugur Dar	TELENOR	6 Months	28 800 €
AI4WaterGuard: AI-Driven Detection of Illegal Water Abstractions Using Earth Observation (EO)	Elena Kakoulli; Anastasios Antoniadis	ECoE	6 Months	28 800 €
Causal Machine Learning for Earth Observation-Guided Yield Enhancement	Vincenzo Schiano di Cola	ECoE	6 Months	14 400 €
Natural Language Interfaces for Explainable Data Exploration in the Energy	Carlos Martin Abellan	KNOW Center	5 Months	12 200 €
Adaptive Digital Twin and Conversational AI Framework for Curtailment-Aware	Nabi Taheri	EDP CNET	6 Months	14 400 €
Hybrid Multimodal Fusion for Non-Intrusive Stress Recognition	Chau Thi Thuy Tran	POLIMI	6 Months	14 400 €
Optimization-Guided AI for Industrial Signal Contextualisation	Ahmet Cevahir Çinar	POLIMI (co-host IMT/Predict)	6 Months	14 400 €

month mobility allowance

Maximum funding per researcher

Duration of the exchange (months)

Expected beneficiaries

What We Offer

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.

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 challenges

Green AI

G-AI.1 Technological Symbioses and Rebound Effects with AI
G-AI.2 Green AI Indexing for Efficient Image and Point Cloud Retrieval
G-AI.3 Energy-Efficient Multi-Agent AI for Code Generation in Digital Twin Understanding
G-AI.4 How Green is Physics-Informed Machine Learning?

Adaptive AI

A-AI.1 AI-Enhanced Visual Understanding for Inspection and Maintenance
A-AI.2 Efficient Continual Learning Systems
A-AI.3 Lifelong Learning and Fine-tuning in LLMs
A-AI.4 Flexible plastics sorting system based on the combination of multiple vision sensors and adaptive AI
A-AI-IDM.5 Batch pattern mining in industrial signals

Human-centric AI

HC-AI.1 Empowering Human-AI Decision-Making through Real-Time User Modeling
HC-AI.2 Interpretability and uncertainty in predictive models
HC-AI.3 Human-Centric Explainable AI for Critical Digital Infrastructure
HC-AI.4 Human-Centered Causal Machine Learning for Real-World Decision Support
HC-AI.5 Explainable AI Methods for Human-AI Decision Making

Trustworthy AI

T-AI.1 Security and Robustness of AI systems
T-AI.2 Privacy and Compliance of AI systems
T-AI.3 AI in Distributed systems
T-AI.4 Enhancing User Trust in AI-powered Chatbots using UBM
T-AI.5 Trustworthy ML based scheduling for the energy domain
T-AI.6 Unified approach to assess safety and security of AI systems
T-AI.7 LLM Safety and Security

Energy

IDE.1 AI for Green Energy curtailment minimization
IDE.2 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

IDM.1 Adversarial Robustness Metrics and Evaluation for AI-Driven Safety Systems
IDM.2 Bias-aware People Detection: Quantifying and Mitigating Dataset and Model Biases Towards Safety Certification
IDM.3 Explainable Uncertainty-Aware Decision-Making for AI Systems in Manufacturing
IDM-A.AI.4 Multimodal AI for Human-State Monitoring
IDM-A.AI.5 Egocentric perception for shopfloor operators

Space

IDS.1 Detection of potential water illegal abstractions using Artificial Intelligence and Earth Observation
IDS.2 Causal Machine Learning model to identify agricultural practices aiding in yield productivity improvement using Earth Observation (EO) data
IDS.3 Advancing Eelgrass Monitoring Using Stationary High-Altitude Balloons and Hyperspectral AI-based Earth Observations
IDS.4 Enhancing natural disaster response through satellite-based earth observation and language models

For details about each of the challenges, please consult the catalogue.

Who Can Apply?

Researchers or a group of 2 researchers from 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:

Guidelines for Applicants
Frequently Asked Questions

Download relevant call documents:

Call for Proposals
Catalogue of Challenges

Prepare your application:

Fill in the Application Form
Presentation Video

Review your application:

Make sure you answer all questions in the application form and upload all relevant documents.

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:

Frequently Asked Questions (FAQs)

Researchers who are nationals from the EU Member States or Horizon Europe associated countries. Researchers can be: 

Researchers can be: 

PhD candidates (who demonstrate their enrolment in a PhD programme) in an eligible country.

Post-docs or senior researchers who demonstrate their employment at a university, research centre or business entity in an eligible country.

Group of researchers composed by one PhD candidate and one post-doc/senior researcher.

Researchers applying to the open call must be employed at academic or research organizations based in EU Member States or Horizon Europe associated countries. Researchers from ENFIELD partner organizations are not eligibleto participate.

ENFIELD Partner Institutions cannot apply.

First, you need to access the public open call documents in this webpage. After reading it carefully, you should complete the application form and include a link to a 2-minute presentation video in the application form, here.

The video will not be uploaded during the application. In the application form you will need to provide a URL link to the repository where you stored your video. Applicants should record and watch the final version of the video to ensure it’s ready for submission. Store a copy of the 2-minute Presentation Video on an online repository (e.g., YouTube, Vimeo, etc) and in the application form provide the URL link. It is important to adjust the video’s privacy settings so that the evaluators have access to the URL link to watch the video, i.e, a direct link to the video should be provided and it must be viewable by the reviewers without requiring a login. If the video is not accessible for watching, it will be considered that no video was associated, making the application not eligible.

Applications can be submitted in English only. The 2-minute presentation video must also be in English.

This is to be proposed by the research applying to the open call, but the project shall have a duration between 3 to 6 months.

Yes. Applicants can submit multiple proposals but only one project can be awarded per beneficiary.

Proposals should be submitted until 31 October 2025 at 17:00 (CET).

All applicants will be informed of the results of the evaluation process by email by 02 December 2025 (indicative date). The list of the selected projects will then be published on the information channels of the ENFIELD project.

Queries about applications can be sent by email to enfield.opencall@inova.business before 17 October 2025. We cannot guarantee that emails will be answered after this date.

ENFIELD has four Exchange Scheme open calls scheduled. The first occurred in Spring 2024, the second in Fall 2024, the third in Spring 2025 and the fourth is currently open until 31 October 2025 – 17:00 (CET).

The open call offers successful applicants a mobility allowance of €2,400/month. No further financial support is available through the open call.

The management of intellectual property rights (IPR) is outlined in Article 8 of the Sub-grant Agreement: “Published content can be used in the thesis by ensuring reference to relevant authors and in agreement with the host organisation”. Please refer to the open call documentation for detailed information on IPR management.

Financial support will not be extended to the employer of the selected researchers.

The funding is exclusively for researchers (individually or in a group).

No. Applications must be presented in response to the ENFIELD proposed challenges.

No, it is not possible to choose any other host institution aside from those listed in the catalogue.

The open call allows researchers from various universities across different countries to participate, as long as the countries meet the eligibility criteria outlined in the open call documents.

Each researcher within the group will receive a monthly mobility allowance of €2,400/month.

The exchange programme does not necessarily need to occur entirely on-site at the host institution. Specific arrangements can be made between the researcher(s) and the host institution. Nonetheless, it is mandatory for a portion of the exchange period to be completed in person at the host institution.

Researchers from all fields are encouraged to apply. In the application form, candidates will be required to demonstrate how they can contribute to the specified research activities associated with the selected challenge.

Since Ukraine is listed as a third country associated to Horizon Europe, researchers established in Ukraine are eligible to apply