{"id":43,"date":"2021-04-20T06:40:46","date_gmt":"2021-04-20T06:40:46","guid":{"rendered":"https:\/\/engage.cyi.ac.cy\/?page_id=43"},"modified":"2024-06-04T10:23:24","modified_gmt":"2024-06-04T07:23:24","slug":"engage-phd-projects","status":"publish","type":"page","link":"https:\/\/engage.cyi.ac.cy\/?page_id=43","title":{"rendered":"PhD Projects"},"content":{"rendered":"\n

This page contains a summary of the ENGAGE PhD projects. The ENGAGE Supervisors are available here<\/a>.<\/p>\n\n\n\n

<\/h1>\n\n\n\n

Summary of the ENGAGE projects<\/h1>\n\n\n\n

Project 1: Machine learning techniques applied to lattice gauge theories<\/a> – G. Koutsou, The Cyprus Institute<\/strong> (Cyprus)<\/h4>\n\n\n\n

Project 2: Computation of the anomalous magnetic moment of the muon using twisted mass fermions<\/a> – C. Alexandrou, The Cyprus Institute<\/strong> (Cyprus) <\/h4>\n\n\n\n

Project 3: Variational quantum computer simulations for quantum systems and optimization problems<\/a> – K. Jansen, Deutsches Elektronen-Synchrotron (Zeuthen)<\/strong>\/Humboldt University of Berlin<\/strong> (Germany)<\/h4>\n\n\n\n

Project 4: Detector Simulation and Jet Clustering for HL-LHC with Quantum Computing<\/strong><\/a> – K. Borras, Rheinisch-Westf\u00e4lische Technische Hochschule Aachen<\/strong>\/ Deutsches Elektronen-Synchrotron<\/strong> (Germany)<\/p>\n\n\n\n

Project 5: Simulating Lattice Field Theories with Quantum Hardware<\/a> – K. Jansen, Deutsches Elektronen-Synchrotron (Zeuthen)\/Humboldt University of Berlin<\/strong> (Germany)<\/h4>\n\n\n\n

Project 6: Algorithmic development of tensor networks for High Energy Physics<\/a> – S. Montangero, University of Padova<\/strong> (Italy)<\/h4>\n\n\n\n

Project 7: Improving the efficiency and quality of 3D seismic imaging addressing HPC aspects<\/strong><\/a> – E. Verschuur, Technical University of Delft<\/strong> (The Netherlands)\/The Cyprus Institute<\/strong> (Cyprus)<\/p>\n\n\n\n

Project 8: Improving the efficiency and quality of 3D seismic imaging applying ML algorithms<\/strong><\/a> – E. Verschuur, Technical University of Delft<\/strong> (The Netherlands) <\/p>\n\n\n\n

Project 9: Multiscale computational approaches for wetting on soft surfaces<\/a> – N. Savva, The Cyprus Institute<\/strong> (Cyprus)<\/h4>\n\n\n\n

Project 10: Multi-scale simulation methodologies of organic semiconductors for morphology control<\/strong><\/a> – V. Harmandaris, The Cyprus Institute<\/strong> (Cyprus) <\/p>\n\n\n\n

Project 11: Hierarchical multi-scale modelling of macromolecular systems at interfaces<\/a> – K. Kremer, Max Planck Institute for Polymer research<\/strong> (Germany)<\/h4>\n\n\n\n

Project 12: Modelling and basic understanding of natural molecules with surfaces and nanoparticles<\/a> – V. Harmandaris, The Cyprus Institute<\/strong> (Cyprus)<\/h4>\n\n\n\n

Project 13: Single-Chain and Collective Structure and Dynamics of Polymer Materials<\/strong><\/a> – M. M\u00fcller, Georg-August-Universit\u00e4t G\u00f6ttingen<\/strong> (Germany) <\/p>\n\n\n\n

Project 14: Deep learning for 3D Synchrotron X-ray tomography data<\/strong><\/a> – M. Nikolaou, The Cyprus Institute<\/strong> (Cyprus)\/SESAME <\/strong>(Jordan)<\/p>\n\n\n\n

Project 15: Automated interpretation of SR-based XRF and IR spectroscopic data using machine learning approach in archaeological sciences<\/strong><\/a> \u2013 C. Chrysostomou, The Cyprus Institute<\/strong> (Cyprus)\/SESAME<\/strong> (Jordan)<\/p>\n\n\n\n

Project 17: Artificial intelligence for operator-intensive coherent X-ray imaging procedures<\/a> – European Synchrotron Radiation Facility<\/strong> (France) <\/h4>\n\n\n\n

Project 18: Machine Learning for the Real-Time Analysis of X-Ray Spectroscopic Data<\/a> – European Synchrotron Radiation Facility<\/strong> (France) <\/h4>\n\n\n\n

Project 19: Microstructure and texture analysis of x-ray diffraction data using Machine Learning<\/a> \u2013 European Synchrotron Radiation Facility (France)<\/strong><\/p>\n\n\n\n

Project 20: Bragg coherent diffractive imaging driven by Machine learning: from data collection through reduction<\/a> – European Synchrotron Radiation Facility<\/strong> (France) <\/h4>\n\n\n\n
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<\/div>\n<\/div>\n<\/div><\/div>\n","protected":false},"excerpt":{"rendered":"

This page contains a summary of the ENGAGE PhD projects. The ENGAGE Supervisors are available here. Summary of the ENGAGE projects Project 1: Machine learning techniques applied to lattice gauge theories – G. Koutsou, The Cyprus Institute (Cyprus) Project 2: Computation of the anomalous magnetic moment of the muon using twisted mass fermions – C. […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-43","page","type-page","status-publish","hentry"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/engage.cyi.ac.cy\/index.php?rest_route=\/wp\/v2\/pages\/43","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/engage.cyi.ac.cy\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/engage.cyi.ac.cy\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/engage.cyi.ac.cy\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/engage.cyi.ac.cy\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=43"}],"version-history":[{"count":304,"href":"https:\/\/engage.cyi.ac.cy\/index.php?rest_route=\/wp\/v2\/pages\/43\/revisions"}],"predecessor-version":[{"id":3745,"href":"https:\/\/engage.cyi.ac.cy\/index.php?rest_route=\/wp\/v2\/pages\/43\/revisions\/3745"}],"wp:attachment":[{"href":"https:\/\/engage.cyi.ac.cy\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=43"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}