Data-Gouv-ML/pcri-actions-marie-curie-participations-et-projets-laureats huggingface dataset:
Projet Shape-IT (Horizon 2020, appel à projets 2019)
Action : Doctoral Networks
Panel : Information Science and Engineering
Statut du projet : SIGNED

The overall goal of this ETN is to enable rapid and reliable development of safe and user-centred automated vehicles (AVs) for urban environments.Vehicle automation has been identified as a game-changer in transport, promising substantial reductions in road-traffic fatalities while improving mobility. However, the processes to integrate automation in transport have been primarily technology-focussed, with insufficient consideration given to how users both inside and outside of the AVs will interact with AVs. The main objective of SHAPE-IT is to facilitate the safe, acceptable (and, ideally, desirable) integration of user-centred and transparent AVs into tomorrow’s mixed urban traffic environments, using both existing and new research methods, designing advanced interfaces and control strategies.To realize the objective, the research in this project spans three complementary facets of AV/human factors research: a) understanding the behaviour of different road-users (inside and outside AVs) when interacting with AVs, investigating cognitive processes, predictability, trust, acceptance and safe interaction in initial and long-term AV exposure, b) researching the best design strategies for interfaces used for communication and interaction between AVs and humans (inside and outside AVs), and c) integrating knowledge on human/AV interactions into models to perform prospective mixed traffic AV safety assessments. As AI is a core technology for AV development, this ETN will also seek to integrate knowledge of human factors with that of AI in AV development, reducing the gap between human-factors and AI scientists and AV software developers.The main educational aim of this ETN is to deliver a future generation of human factors researchers with an excellent multidisciplinary (cognitive and behavioural psychology, human-factors, computer science, and engineering) education in human factors experimental and modelling methods, human-AV interaction, safety analysis and AV design.

Mots clés : user acceptance, automated vehicles, artificial intelligence, human factors, automotive, driver behaviour

Participants :
- University of Leeds (Royaume-Uni) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 909517.68 €
- Technical University of Munich (Allemagne) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 505576.8 €
- Chalmers University of Technology (Suède) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 563965.92 €
- Delft University of Technology (Pays-Bas) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 796859.64 €
- University of Ulm (Allemagne) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 758365.2 €
- University of Gothenburg (Suède) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 563965.92 €
Projet QTMODEM (Horizon 2020, appel à projets 2014)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Social Sciences and Humanities
Statut du projet : CLOSED

The overall goal of this project is to provide a theoretical context encompassing motivation, motor control theory and motor decision-making. How does the brain relate incentive motivation to motor behaviour? How are these principles altered under Parkinson’s disease (PD)? The fact that three of PD’s major motor symptoms: bradykinesia, akinesia and hypokinesia are consistent with a lesser than normal motor invigoration, emphasizes the relationship between motivation and movement, strongly suggesting that PD may be reviewed as a disorder of motivation. This project is concerned with the two major quandaries impending to systematically test this hypothesis: the absence of a normative context relating motivation to motor control theory and the lack of an independent scale of incentive motivation. Therefore, we propose a novel unifying model called Quantitative Motor Control for Decision-Making (QTMODEM) to characterize motor processes as a function of incentive motivation for different kinds of movements. In other words, the QTMODEM intends to formalise the relationship between the selection of motor parameters and an independent metric of motivation derived from electro-encephalography. We will first quantify this relationship with a series of psychophysics experiments with healthy participants by varying two factors: the nature of their movements and the participants’ level of incentive motivation. Second, we will perform experiments with PD patients to gain a quantitative insight into their dysfunctional relationship between motivation and movement statistics. Third, we will build the QTMODEM based on the dynamics of a trade-off between motivation and motor costs, and optimal feedback control theory. Unlike previous models, we predict that the incorporation of motivation into the QTMODEM, will provide the proper normative context for the characterization of the dynamics between motivation and the selection of motor parameters, both under normal and PD conditions.

Mots clés : computational neuroscience, motivation, decision making, neural motor control, psychophysics, parkinson

Participants :
- Pompeu Fabra University (Espagne) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 158121.6 €
Projet TwUnaGas (Horizon 2020, appel à projets 2015)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Physics
Statut du projet : CLOSED

The overall idea behind this project is to study condensed matter physics and many-body effects via an ultra-cold gas of Potassium-39. In particular, this project aims to study the effect of interactions and gas homogeneity on the BKT transition. Studies of homogeneous gases are difficult to realize in the cold atom community where most ultra-cold samples are obtained in harmonic traps, which leads to a spatially varying density. However, recent work performed at the hosting institution on creating box potentials, led to the first realization of a 3D homogeneous BEC. The atoms are, in this case, surrounded by repulsive light and lie in a “dark” region of space leading to an uniform density. Such a system realizes the usual theoretical picture of a vanishing potential and is ideally suited to study phase transitions for which the inhomogeneity of the gas can blur or change the predicted effects. One of the most unique tools in the field of ultra-cold atoms is the ability to tune interactions. In this project, the algebraic decay of the gas coherence will be investigated for different interaction strengths. This project corresponds to the very philosophy of cold atom experiments which is to simulate quantum phenomena and to connect their extreme regimes leading to a better understanding of the overall phenomenon.

Mots clés : cold atoms, bkt transition, uniform gas

Participants :
- University of Cambridge (Royaume-Uni) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 183454.8 €
Projet KimberliteNewApproach (Horizon 2020, appel à projets 2014)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Environment and Geosciences
Statut du projet : CLOSED

The overarching aim of this project is to provide novel constraints on the composition of the Earth’s deep mantle, particularly its volatile content, by undertaking an innovative geochemical and isotopic study of the deepest formed melts on Earth: kimberlites. Kimberlite melts are derived from depths in excess of 150-200 km. They are important as the major host of diamonds and because entrain xenoliths (i.e. fragments) of upper mantle and deep crustal rocks during ascent to the surface, providing a major source of information about the geochemistry of the deep Earth. Despite their importance, the composition of primary kimberlite melts and their exact mantle source are hotly debated issues. This is due to contamination of kimberlite melts by mantle and crustal rocks during magma emplacement and near surface alteration of primary kimberlite mineralogy. To determine the composition of primary kimberlite melts, I will employ a novel approach that combines radiogenic (Sr-Nd-Pb) and stable (C-O) isotope fingerprinting of melt inclusions in kimberlitic magmatic minerals (i.e. olivine and spinel), using innovative ultra-sensitive techniques. This approach will constrain if the carbonate-dominated melt inclusions truly represent examples of pristine kimberlite magma by quantifying processes like crustal contamination and degassing that may have altered the melt composition. I will investigate kimberlites from targeted localities from different parts of the world (South Africa, Canada, Greenland, Russia) and of variable age (Proterozoic to Cretaceous) to assess if there are spatial and/or temporal controls to kimberlite composition. The melt inclusions C-O isotope data, coupled with O isotope analyses of kimberlitic olivine, spinel and perovskite, are designed to test if recycled crustal material occurs in the deep mantle source of kimberlites, which would provide important new constraints on the global cycle of volatiles through geological time.

Mots clés : kimberlite, melt inclusions, radiogenic isotopes, stable isotopes, volatiles, crustal recycling, carbonate melts, tims

Participants :
- Vrije Universiteit Amsterdam (Pays-Bas) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 177598.8 €
Projet MEAL fish (Horizon 2020, appel à projets 2020)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Environment and Geosciences
Statut du projet : SIGNED

The overarching goal of MEAL fish is to further understand the role of chaperone-Mediated autophagy (CMA) and Endosomal microautophagy (eMI) in AquacuLture fish, and to determine their relative contribution to nutrient utilization and metabolism. Deciphering the role of CMA and eMI in the control of carbohydrate metabolism will contribute to shed light on diverse physiological processes that can ultimately affect fish production, including nutrition and growth. During this trainee-development focused project, the fellow, through his interactions with the supervisor and the partners (H. Wodrich, and A. Herpin, from the stellar French research institutions CNRS and INRAE, respectively), will acquire diverse state-of-the-art skills that significantly enhance his scientific and technical knowledge. The mentor (I. Seiliez, UMR1419 INRAE NuMeA) is an internationally recognized leader in autophagy, fish metabolism and genomics and provides an excellent training environment for the applicant, an experienced researcher (ER) and emerging young leader in fish biology research. It is noteworthy the novelty and originality of the project, which proposes to gain insights on the function of a recently discovered process in fish, CMA, together with the barely known eMI, and to study its applied scope in aquaculture for the promotion of the use of non-fishmeal nutrients in aquafeeds. The project focuses on an important commercial species of the European aquaculture, the rainbow trout (O. mykiss). The European research competitiveness will be continuously enhanced throughout the project by the superior training of the ER, the interaction between multidisciplinary researchers, and translating for commercial use of the derived new knowledge on the regulation of CMA and eMI and its contribution to fish production. This project will ultimately contribute to the EU food sustainability, economy, employment and maintenance of its status as a group of high-level-knowledge countries.

Mots clés : autophagy, rainbow trout, glucose, chaperone mediated autophagy, endosomal microautophagy, intermediary metabolism, fish

Participants :
- Institut national de recherche pour l'agriculture, l'alimentation et l'environnement (France) — Coordinator, beneficiary, Recherche, subvention : 196707.84 €
Projet Hy-solFullGraph (Horizon 2020, appel à projets 2016)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Chemistry
Statut du projet : CLOSED

The overarching goal of the Hy-solFullGraph project is to undertake, from a molecular level, the synthesis of new functional hybrid materials based on carbon allotropes with outstanding properties. Synthetic carbon allotropes (SCAs) are regarded to be among the most promising candidates for future high performance materials. Precise control of the derivatisation will play a key role in tailoring their solubility and reactivity to maximise the advantages of their outstanding properties. We propose herein 1) to selectively functionalise C60 fullerenes with different substituents (hydrophobic, hydrophilic, and polyfluorinated) to tune their solubility and their superstructured assembly. 2) By controlling the addition pattern, we will include an additional functional group which will facilitate their covalent attachment to other carbon allotropes such as graphene or CNT. In this way, new Hybrid-SCAs will be synthesised for the very first time and the interactions between the hybrid allotropes will be unravelled. 3) Moreover, by changing the chemical decoration around the allotropes, we will be able to endow them with different functionality for their application in optoelectronic and biomedical fields. For optoelectronic applications, such as the development of solar cells, we propose to tune the electronic interactions and energy levels of fullerene and graphene and to control the energy transfer processes and packing behaviours between the allotropes by well-designed chemical functionalisation. Furthermore, we will use the hydrophilic fullerenes to prepare functional biomaterials by taking advantage of their electrical properties to ultimately assist nerve tissue regeneration. The project will be developed at the crossroads of organic and supramolecular chemistry, materials science, nanotechnology and physical chemistry to produce novel synthetic hybrid carbon allotropes with tailored properties towards new nanomaterials for optolectronical and biomedical applications

Mots clés : hybrid carbon allotropes, fullerene selective functionalization, solubility, graphene, organic solar cells, biomaterials for nerve regeneration

Participants :
- University of Erlangen-Nuremberg (Allemagne) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 159460.8 €
Projet THOR (Horizon 2020, appel à projets 2020)
Action : Postdoctoral Fellowships - Global Fellowships
Panel : Information Science and Engineering
Statut du projet : SIGNED

The overarching goal of the THOR research project is to augment space operations autonomy and robustness through uncertainty management and quantification. This involves a bottom up process where novel uncertainty estimation and propagation techniques will be employed to be subsequently embedded within a stochastic robust controller. The main outcome will be a robust non-linear non-gaussian integrated guidance, navigation and control strategy with both model-based and exogenous disturbance estimation. Since both uncertainty sources are quantified, a more reliable and efficient space operation management and planning will be obtained. The THOR scenario relates to asteroid exploration which is one of the most challenging and uncertain space operations nowadays. This is due to the limited asteroid data known prior to the arrival if the body is visited for the first time. Two mission phases can be clearly distinguished: on-orbit data collection where most of the uncertainty will be removed by estimation; then, an entry descent and landing critical phase where the stochastic robust controller will use the previous uncertainty knowledge, is envisioned. The THOR project methodology and results are expected to advance current state-of-the-art in autonomous spacecraft guidance, navigation and control, thus enabling more advanced space exploration mission concepts with a higher scientific return, without loss of generality.

Mots clés : astrodynamics  spacecraft guidance, navigation and control  robust control

Participants :
- Universidad de Sevilla (Espagne) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 204415.68 €
- University of Colorado System (Etats-Unis) — Partner, organization partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
Projet FOODENGINE (Horizon 2020, appel à projets 2017)
Action : Doctoral Networks
Panel : Environment and Geosciences
Statut du projet : CLOSED

The overarching objective of FOODENGINE is to provide, for the first time, a research-based training programme to a new generation of young food scientists and technologists by introducing an enginomics approach in food quality design. It connects an omics approach to instrumentally quantify food quality with an advanced engineering approach using multi-response kinetics to model food quality changes during processing and storage. At the same time, FOODENGINE will develop models linking the enginomics-based instrumental food quality design with sensory properties, consumer acceptability and consumer preferences to create new products appealing to consumers. FOODENGINE provides unique interdisciplinary, international and intersectoral training opportunities to 13 ESRs, each for 36 months. This extensive international (5 countries), intersectoral (2 universities, 1 research institute and 6 food (ingredient) companies) and interdisciplinary (food engineering, food chemistry, food nutrition and sensory/consumer research) training should lead for all ESRs to a PhD degree. FOODENGINE will boost the career perspectives of the FOODENGINE fellows to the top level. In addition, it has the ambition to become a best-practise example for structuring PhD research training in food science and technology at the European level. Although FOODENGINE specifically focusses on sustainable commodities which are essential parts of a healthy lifestyle (fruit-, vegetable-, legume-based food ingredients and foods), the skills and new ways of thinking the fellows will acquire are generic and can be extrapolated beyond the specific application area (diverse range of food systems or food processes) in their future careers.

Mots clés : food technology

Participants :
- Greenyard prepared belgium (Belgique) — Partner, organization partner, Organismes privés (hors enseignement), subvention : 0.0 €
- Unilever (Netherlands) (Pays-Bas) — Partner, organization partner, Organismes privés (hors enseignement), subvention : 0.0 €
- Gnt europa gmbh (Allemagne) — Partner, organization partner, Organismes privés (hors enseignement), subvention : 0.0 €
- KU Leuven (Belgique) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 1002240.0 €
- Institut national de recherche pour l'agriculture, l'alimentation et l'environnement (France) — Partner, beneficiary, Recherche, subvention : 525751.2 €
- University of Copenhagen (Danemark) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 1160327.52 €
- Cargill (Belgium) (Belgique) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 250560.0 €
- Haystack nv (Belgique) — Partner, organization partner, Organismes privés (hors enseignement), subvention : 0.0 €
- Dohler gmbh (Allemagne) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 498432.96 €
Projet GrowthDevStability (Horizon 2020, appel à projets 2019)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Life Sciences
Statut du projet : CLOSED

The overarching objective of the proposed project is to find how and when organs asses their growth status and which mechanisms are deployed to ensure fine size adjustment during normal animal development. As a model system, I will study the symmetrical growth of D. melanogaster, where the signaling hormone Dilp8 has been described as a central player to ensure developmental stability. However, Dilp8 regulation and mechanism of action remain elusive, providing an unprecedented framework to inquiry about the general phenomenon of growth adjustment. I will study when Dilp8 is required and in which organ it is produced during normal development. Also, I will identify signaling pathways regulating Dilp8 expression and the downstream effectors required for its action. This project will allow me to define for the first time how a systemic signal is activated and functions to adjust symmetrical growth in a bilateral model organism. The new concepts introduced by my investigation may help to better understand the pathophysiology of childhood growth disorders, as well as the growth disturbances observed in cancer survivors.

Mots clés : developmental stability, growth coordination, bilateral symmetry

Participants :
- Institut Curie (France) — Coordinator, beneficiary, Recherche, subvention : 184707.84 €
Projet SoftNum (Horizon 2020, appel à projets 2020)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : SIGNED

All computing devices implement computer arithmetic as a core functionality. Nearly all computing devices moreover implement the same, standardized number formats in order to aid software portability. However, with Moore’s Law ending, we question whether it remains the best approach to achieve high performance and low energy consumption by applying the same standardized number formats for all applications. Among others, the Internet-of-Things (IoT) presents a proliferation of compute devices with a wide variety of functionality, among others in data sensing, data analytics, and inference of machine-learned models. Additionally, security mechanisms, which are essential for internet-connected devices, are compute-intensive workloads. We posit that each of these workloads will see improved performance and energy-efficiency from distinct, specialized computer arithmetic. The SoftNum Marie Curie Fellowship will explore how to make number formats, generally considered to be hard-wired functionality, software-defined. Software-defined number formats have the advantage of high performance, low energy consumption, and ensure sufficient while not excessive precision. For instance, with SoftNum it will be possible to design a data sensing device that pre-processes data streams at the minimal precision possible to minimize energy consumption, embeds a watermark to prove ownership and origin of the data, all while achieving the required application-level accuracy. This project, if successful, will have a major impact on how we perceive the design of computing devices. It will create an unprecedented degree of virtualization of the core computing hardware, with an estimated system-level speedup of 50% and reduction of energy consumption by 70%. This novel proposition promises to accelerate the Fellow’s career, who brings prior expertise in computer arithmetic to the project, under the mentorship of an expert in transprecise computing and runtime system software.

Mots clés : computer arithmetic, transprecise computing, internet of things  iot

Participants :
- Queen's University Belfast (Royaume-Uni) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 224933.76 €