Description du projet
Programme de formation aux technologies et méthodologies informatiques avancées
Le développement rapide des technologies et méthodologies informatiques avancées exige une formation adéquate des chercheurs. Le projet ENGAGE, financé par l’UE, formera 20 chercheurs en début de carrière (CDC) à l’informatique à haute performance, aux approches de la science des données telles que l’apprentissage automatique et l’apprentissage profond, et à l’informatique quantique ainsi qu’à la résolution de problèmes allant de la physique à l’ingénierie. Les CDC apprendront à utiliser la modélisation mathématique, à concevoir des algorithmes évolutifs et à comprendre les architectures informatiques et les principes de l’informatique quantique. Ils feront appel à des réseaux neuronaux et tensoriels pour analyser et extraire des informations de grands ensembles de données complexes obtenus dans le cadre d’expériences à haute énergie et d’installations de rayonnement synchrotron. Le bénéficiaire est l’Institut de Chypre qui a mis en place un programme de doctorat interdisciplinaire en sciences informatiques.
Objectif
The program “Enabling the next generation of computational physicists and engineers” (ENGAGE) will train 20 Early Stage Researchers (ESRs) to use advanced computer technologies and methodologies for scientific discovery and innovation. The Cyprus Institute is the beneficiary of ENGAGE, having established an interdisciplinary PhD program in Computational Sciences. ENGAGE pools together leading experts from major research centers and from some of Europe's best Universities to train the ESRs in high performance computing (HPC), data science approaches such as machine and deep learning (ML), and quantum computing (QC) and to apply them for solving problems from physics and engineering. The ESRs will learn to use mathematical modeling, to design scalable algorithms, to understand computer architectures and the principles of QC, and to use neural and tensor networks to analyze and extract information from large complex data sets obtained in high energy experiments and from synchrotron light facilities. They will experience different research environments via secondments to universities and to experimental and computational facilities as well as to industry. They will be trained to present their results and hold scientific discussions with researchers from different thematic domains, all of whom share common cross-disciplinary competencies in the pursuit of complex problems, which aim to advance our understanding of nature and to lead to innovative applications. The interdisciplinary program ENGAGE combines the expertise of researchers from institutions across Europe, from Cyprus, Greece and Italy to Germany and France as well as from SESAME, the Middle East's only major experimental synchrotron light facility. ENGAGE responds to the rapid developments in HPC, ML, and the emerging field of QC that have the power to transform the way research is carried out across disciplines. These developments require researchers with well-rounded training, that ENGAGE aspires to deliver.
Champ scientifique
- natural sciencescomputer and information sciencesdata science
- natural sciencescomputer and information sciencescomputational science
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcomputer hardwarequantum computers
- natural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learning
- natural sciencesmathematicsapplied mathematicsmathematical model
Mots‑clés
Programme(s)
Régime de financement
MSCA-COFUND - Co-funding of regional, national and international programmes (COFUND)Coordinateur
2121 Nicosia
Chypre