Data-Gouv-ML/pcri-actions-marie-curie-participations-et-projets-laureats huggingface dataset:
Projet TIES2 (Horizon Europe, appel à projets 2024)
Action : Cofund Postdoctoral programme
Statut du projet : SIGNED

Turku Intersectoral Excellence Scheme 2 (TIES2) is an updated and enhanced version of a pilot COFUND FP, funded by MSCA in 2022 (TIES, 101081293). It is an innovative fellowship program seeking to advance state-of-the-art postdoctoral research excellence. It is based within Turku Institute for Advanced Studies (TIAS) at the University of Turku (Finland) and is supported by five associated partners in the fields of business, culture and governmental organizations. TIAS has a record for producing world-class research and developing its fellows for research leadership roles. TIES2 offers: • Scientific excellence: TIES2 integrates intersectoral perspectives and methods into TIAS’s interdisciplinary IAS model. This expands the horizons of academic research, enabling it to envision original solutions to address complex issues that affect society as a whole. • Career development: TIES2 offers a new range of options for non-tenured researchers, enabling them to move freely between sectors, acquire unique skills and experiences, increase their career choices and develop as intersectoral thought leaders. • Innovation: TIES2 seeks to build a sustainable infrastructure for innovation by: 1. enabling knowledge, technology and researchers to circulate freely at regional, national and international levels; 2. forging deep relations of trust between sectors, connecting intellectual excellence with the practical know-how and infrastructure needed to realise new ideas. TIAS proposes to recruit 8 TIES2 fellows in 2025 and 8 in 2026 (16 in total) through an open, international, competitive, merit-based selection process dependent on external peer-review, in line with the European Charter and Code. They will be full members of TIAS, with excellent working conditions. During their 36-month fellowships, they will be required to practice international and intersectoral mobility, conduct research in a non-academic sector and undertake research secondments with a non-academic organisation.

Mots clés : intersectoral working institute for advanced studies transdisciplinarity non academic impact knowledge exchange mentorship leadership development training autonomy bottom up

Participants :
- Université de Turku (Finlande) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 2707200.0 €
- Turku Science Park (Finlande) — Partner, associated partner, Autres, subvention : 0.0 €
- Suomen museoliitto - finlands museiforbund ry (Finlande) — Partner, associated partner, Autres, subvention : 0.0 €
- Liedon säästöpankkisäätiö sr (Finlande) — Partner, associated partner, Autres, subvention : 0.0 €
- Finnish Institute of International Affairs (Finlande) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Turun kauppakamari ry, åbo handelskammare rf. (Finlande) — Partner, associated partner, Autres, subvention : 0.0 €
Projet NiteLiDAR (Horizon Europe, appel à projets 2022)
Action : Doctoral Networks
Panel : Physics
Statut du projet : SIGNED

LiDAR – or Light Detection and Ranging – technology is popping up everywhere. Industry experts are predicting an ever-greater enabling role for LiDAR in everything from advanced driving support systems to autonomous driving, to autonomous mobility applications, to gas sensing, etc. The demand for the technology is at an all-time high, and it is expected to experience a steadily accelerating adoption across markets. NiteLiDAR will break new ground in LiDAR technology by allowing higher levels of integration including optical phased array based solid-state beam steering and on-chip frequency-modulated continuous-wave based ranging, thus moving away from mechanical components, which will bring down the cost of LiDAR. To achieve this, NiteLiDAR will leverage on beyond-state-of-the-art knowledge being generated around photonic integrated circuits (PIC) and electronic integrated circuits (EIC), while addressing current gaps, and tackling the paucity of knowledge around the largely underexploited LiDAR-on-a-chip technology. NiteLiDAR, therefore, creates a platform solution vouching for the European leadership in next-generation LiDAR technologies. The mission of NiteLiDAR is to train 10 Doctoral Candidates (DCs) with out-of-the-box thinking and an entrepreneurial mindset in the field of LiDAR technologies as a specific expertise, and photonic and electronic integration (i.e., semiconductor) skills and expertise in a broader perspective, which are KEY for the implementation of the EU Chips Act, and - wider - for the European semiconductor autonomy.

Mots clés : lidar, optical phased array, electronic integrated circuits

Participants :
- Bright photonics bv (Pays-Bas) — Partner, associated partner, Organismes privés (hors enseignement), subvention : 0.0 €
- Université de Gand (Belgique) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 525240.0 €
- Smart photonics bv (Pays-Bas) — Partner, associated partner, Organismes privés (hors enseignement), subvention : 0.0 €
- Siphotonic aps (Danemark) — Partner, associated partner, Organismes privés (hors enseignement), subvention : 0.0 €
- Université technique du Danemark (Danemark) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 905364.0 €
- Thales group (France) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 282693.6 €
- Scantinel photonics gmbh (Allemagne) — Partner, associated partner, Organismes privés (hors enseignement), subvention : 0.0 €
- Université Paris-Saclay (France) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Université de technologie d'Eindhoven (Pays-Bas) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 823111.2 €
- Institut de micro-électronique et composants (Belgique) — Partner, beneficiary, Recherche, subvention : 262620.0 €
Projet 6G-TERRAIN (Horizon Europe, appel à projets 2023)
Action : Doctoral Networks
Panel : Information Science and Engineering
Statut du projet : SIGNED

6G is expected to trigger a total rethink of network architecture design, adopting the new Network of Networks vision which promotes the integration of multi-stakeholder, multi-technology infrastructures. To this end, future 6G systems will tightly integrate upcoming satellite systems and Low-Earth Orbit constellations (e.g., OneWeb) as well as High-Altitude Platforms (HAPs) and unmanned aerial vehicles (UAVs), a concept termed as integrated Terrestrial and Non-terrestrial Networking (TNTN). However, the sheer scale and heterogeneity of future TNTN infrastructures is expected to create a unique set of challenges. To this end, 6G-TERRAIN adopts Integrated Communication and Sensing (ICAS) as a key enabler of TNTNs, allowing to perceive the complex and dynamic TNTNs through sensing the physical environment. Moreover, 6G-TERRAIN aims to propose, design, and validate a novel Native AI automation architecture and its associated enabling technologies and theoretical frameworks, aiming for an intent 6G System with seamlessly integrated multi-stakeholder & multi-technology (e.g., terrestrial and non-terrestrial) nodes. Natural Language intents are adopted, exploiting the breakthrough capabilities of emerging LLMs to automatically plan the optimal decompositions of intents into tasks and prioritise their downstream execution. Finally, 6G-TERRAIN will build a training network to conduct top-notch research towards the development and experimental evaluation of a gamut of techniques, methodological frameworks and tools that will break the barriers currently impeding the realisation of the 6G “Network of Networks” vision.

Mots clés : 6g, zero touch, native ai, icas, ntn, ibn, llms, generative ai

Participants :
- Iquadrat (Spain) (Espagne) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 503942.4 €
- Université ouverte de Catalogne (Espagne) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Université de Brême (Allemagne) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 521078.4 €
- IBM (Ireland) (Irlande) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 286488.0 €
- EURECOM (France) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 565387.2 €
- Athena Research and Innovation Center In Information Communication & Knowledge Technologies (Grèce) — Coordinator, beneficiary, Recherche, subvention : 480196.8 €
- Université polytechnique de Catalogne (Espagne) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Trinity College (Irlande) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Sorbonne Université (France) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Nokia (Germany) (Allemagne) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 260539.2 €
Projet CINEMA (Horizon Europe, appel à projets 2021)
Action : Doctoral Networks
Panel : Chemistry
Statut du projet : SIGNED

Machine learning (ML) systems continue to revolutionize many aspects of daily life, but despite their immense potential have yet to impact significantly in polymer science. One major issue that is hindering the more widespread use of machine learning in polymer science, and many other physical sciences, lies in the challenges in amassing sufficient data to efficiently train machine learning models. This in itself is not necessarily a problem, and is an issue frequently encountered in the machine learning field, but can only be resolved by a thorough understanding of the science behind the problem of interest. CINEMA aims to providing a training platform that will allow the next generation of polymer scientists to take polymer science into the 21st century through incorporating the fundamental knowledge gained over many years of research into the training of machine learning systems. Such a knowledge-driven machine learning approach puts the scientific issues of CINEMA at the forefront of the use of machine learning in fundamental scientific problems, and also provides the perfect training platform for the next generation of scientists, for whom the use of AI will be an invaluable tool.


Participants :
- Synthomer deutschland gmbh (Allemagne) — Partner, associated partner, Organismes privés (hors enseignement), subvention : 0.0 €
- Covestro (netherlands) bv (Pays-Bas) — Partner, associated partner, Organismes privés (hors enseignement), subvention : 0.0 €
- BASF (Germany) (Allemagne) — Partner, associated partner, Organismes privés (hors enseignement), subvention : 0.0 €
- Université de Cambridge (Royaume-Uni) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Université technique de Rhénanie-Westphalie à Aix-la-Chapelle (Allemagne) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 781617.6 €
- Université de Gand (Belgique) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 525240.0 €
- Université du Pays basque (Espagne) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 503942.4 €
- Arkema France (France) — Partner, associated partner, Organismes privés (hors enseignement), subvention : 0.0 €
- Basque Center for Applied Mathematics (Espagne) — Partner, beneficiary, Recherche, subvention : 251971.2 €
Projet InnoGuard (Horizon Europe, appel à projets 2023)
Action : Doctoral Networks
Panel : Information Science and Engineering
Statut du projet : SIGNED

InnoGuard addresses novel challenges imposed by quality assurance of Autonomous Cyber-Physical Systems (ACPS), which have integrated Artificial Intelligence (AI) components. Their use in our daily lives is increasing, such as in public transport systems, highlighting the need for novel, robust development methodologies to ensure their dependability, whose compromise could have severe consequences, as exemplified by various incidents (e.g., accidents caused by Tesla's autopilot system). To ensure ACP dependability, InnoGuard targets developing novel methods for ACPS quality assurance by creating a tailored training program for Early-Stage Researchers (ESRs), with scientific objectives including methods to automate ACPS quality assessment and behavior evolution using AI techniques and enhancing ACPS dependability through real-time security, privacy, and uncertainty handling solutions. Additionally, InnoGuard seeks to improve the trustworthiness of AI methods, enhance environmental sustainability by increasing the energy efficiency of ACPSs with the usage of AI methods, including Large Language Models (LLMs), and validate such techniques in open-source contexts such as Robot Operating Systems (ROS)-based systems. Ultimately, InnoGuard will deliver novel techniques and methodological principles for ACPS quality assurance, ensuring high trustworthiness, reliability, and legal compliance. The project's holistic approach encompasses technical advancements and training initiatives, with a broad plan to disseminate results to industry stakeholders, associations, and the wider public. Through these efforts, InnoGuard strives to elevate the status of ESRs as future experts in ACPS engineering.

Mots clés : ai enabled cyber physical systems quality assurance large language models law in ai

Participants :
- Université de Malaga (Espagne) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 503942.4 €
- Université de Mondragón (Espagne) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 755913.6 €
- Université métropolitaine d'Oslo (Norvège) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 297748.8 €
- Université du Sannio (Italie) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 518875.2 €
- Université de Berne (Suisse) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Université libre d'Amsterdam (Pays-Bas) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 548740.8 €
- Simula Research Laboratory (Norvège) — Partner, beneficiary, Recherche, subvention : 595497.6 €
Projet CRITERIA (Horizon Europe, appel à projets 2023)
Action : Doctoral Networks
Panel : Environment and Geosciences
Statut du projet : SIGNED

The characterization and cultivation of tailing dams and waste dumps for the treatment and subsequent recovery of critical raw materials is an actual priority concerning Eu member States. This activity is both linked to the purpose of the remediation of old mining sites for a new employment of the area and the soil reuse and to actually developing mining activities. In this perspective the geophysical charaterization of tailing dams in order to organize the subsequent excavation and treatment activities is fundamental together with the social acceptance and the environmental impact evaluation of all the process. According to the different kind of excavated materials and the related content of critical raw materials physical and chemical treatments may be proposed such as: sieving, magnetic and electric separation, fluid media separation, chemical and/or biological leaching, crystallization and precipitation, solvent extraction, membrane-based processes or the integration of those. All the performed operations must be evaluated according to environmental and economic aspects.

Mots clés : mining tailing recovery, waste dumps minimization and recovery, circular economy, innovative treatment technologies, environmental sustainability

Participants :
- Minerali industriali srl (Italie) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 259437.6 €
- Université de Calabre (Italie) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 518875.2 €
- Circular water technologies ab (Suède) — Partner, associated partner, Organismes privés (hors enseignement), subvention : 0.0 €
- Atalaya riotinto minera sl (Espagne) — Partner, associated partner, Organismes privés (hors enseignement), subvention : 0.0 €
- Université de Lisbonne (Portugal) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 730209.6 €
- Université polytechnique de Catalogne (Espagne) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 755913.6 €
- KTH Institut royal de technologie (Suède) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 587419.2 €
- Imhoit sl (Espagne) — Partner, associated partner, Organismes privés (hors enseignement), subvention : 0.0 €
- École polytechnique de Turin (Italie) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 518875.2 €
Projet RELAX (Horizon Europe, appel à projets 2021)
Action : Doctoral Networks
Panel : Information Science and Engineering
Statut du projet : SIGNED

The RELAX European Doctoral Network aims to train a cohort of highly mobile and adaptable researchers to become experts in the design of scalable and efficient data-intensive software systems. These experts will master the specific skill of navigating the semantics or correctness conditions of applications, with the goal of enhancing scalability, response times, and availability. Working across the disciplinary specialisms of data science, data management, distributed computing and computing systems, the Fellows will develop knowledge of the broad issues underpinning data analytics systems. The bespoke training programme fosters intellectual enquiry and combines technical and scientific research training with courses in innovation, management and leadership. The training network addresses a critical skills gap in data analytics expertise, which needs urgently addressed to support innovation and employment in a fast-growing European data economy. The 14 partner organisations representing 8 countries will benefit first-hand through intersectoral collaboration and an Open Innovation model.

Mots clés : data analytics, relaxed semantics, data quality and representation, coordination and synchronisation

Participants :
- Université Queen's de Belfast (Royaume-Uni) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Université d'Aarhus (Danemark) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 603576.0 €
- École polytechnique Chalmers (Suède) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 881128.8 €
- Danish School of Media and Journalism (Danemark) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Ryax Technologies (France) — Partner, associated partner, Organismes privés (hors enseignement), subvention : 0.0 €
- Trinity College (Irlande) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 572976.0 €
- Institute of Communication and Computer Systems (Grèce) — Partner, beneficiary, Recherche, subvention : 480196.8 €
- Analytics Engines (United Kingdom) (Royaume-Uni) — Partner, associated partner, Organismes privés (hors enseignement), subvention : 0.0 €
- Volvo (Sweden) (Suède) — Partner, associated partner, Organismes privés (hors enseignement), subvention : 0.0 €
- B-secur limited (Royaume-Uni) — Partner, associated partner, Organismes privés (hors enseignement), subvention : 0.0 €
- Ubotica technologies limited (Irlande) — Partner, associated partner, Organismes privés (hors enseignement), subvention : 0.0 €
- Monetdb solutions bv (Pays-Bas) — Partner, associated partner, Organismes privés (hors enseignement), subvention : 0.0 €
- Forschungszentrum Jülich (Allemagne) — Partner, associated partner, Recherche, subvention : 0.0 €
- Vaix limited (Royaume-Uni) — Partner, associated partner, Organismes privés (hors enseignement), subvention : 0.0 €
Projet CAVECORE (Horizon Europe, appel à projets 2024)
Action : Doctoral Networks
Panel : Information Science and Engineering
Statut du projet : SIGNED

What technology can enable more agile production, personalized healthcare, efficient logistics, and expand scientific reach into ocean depths? We need cognitive robots that interact with environments, humans, and agents to autonomously acquire skills and perform diverse tasks in open-ended contexts. CAVECORE addresses a critical challenge in AI-enabled robotics: evaluating the quality of robotic agents in open-ended environments, including performance, safety, and reliability. How can we validate robot behavior with trustworthy measurements and automate this task over long periods? CAVECORE aims to streamline the innovation process into goal-oriented, efficient technological progress for organizations developing cognitive robots by training AI robotics researchers in methods for replicable, unbiased validation and evaluation in virtual and real-world environments, allowing humans to calibrate trust towards cognitive robots. CAVECORE enables stakeholders (users, developers, policymakers) to understand the expected and actual quality of cognitive robots, ensuring conformance with emerging ethical, legal, social, and economic requirements of the EU AI Act, and delivering robots capable of continuous self-assessment and improvement. CAVECORE's principle of evaluability-by-design mandates that validation and evaluation concepts be integral to the robot development process, not an afterthought, and that cognitive robots continuously provide evidence of their quality. This principle shapes the training program and expert consortium, which offers interdisciplinary training in cognitive science and robotics, AI metrology, and automated testing and validation.

Mots clés : benchmarking and performance evaluation

Participants :
- Université technique de Graz (Autriche) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 302542.92 €
- Institut de technologie de Chypre (Chypre) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 262410.84 €
- Pal robotics slu (Espagne) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 282188.16 €
- Eiva a/s (Danemark) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 335890.08 €
- Université de Bielefeld (Allemagne) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 580544.64 €
- Laboratoire national de métrologie et d'essais (France) — Partner, beneficiary, Recherche, subvention : 629338.32 €
- Cellumation gmbh (Allemagne) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 290272.32 €
- IT University of Copenhagen (Danemark) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 671780.16 €
- Université de York (Royaume-Uni) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 348738.12 €
- Université de Brême (Allemagne) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 870816.96 €