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. Alexandrou, The Cyprus Institute (Cyprus)

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

Project 4: Detector Simulation and Jet Clustering for HL-LHC with Quantum Computing – K. Borras, Rheinisch-Westfälische Technische Hochschule Aachen/ Deutsches Elektronen-Synchrotron (Germany)

Project 5: Higgs to bb tagging with Quantum Computing – C. Issever, Humboldt University of Berlin (Germany)

Project 6: Algorithmic development of tensor networks for High Energy Physics – S. Montangero, University of Padova (Italy)

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

Project 8: Improving the efficiency and quality of 3D seismic imaging applying ML algorithms – E. Verschuur, Technical University of Delft (The Netherlands)

Project 9: Multiscale computational approaches for wetting on soft surfaces – N. Savva, The Cyprus Institute (Cyprus)

Project 10: Multi-scale simulation methodologies of organic semiconductors for morphology control – V. Harmandaris, The Cyprus Institute (Cyprus)

Project 11: Hierarchical multi-scale modelling of macromolecular systems at interfaces – K. Kremer, Max Planck Institute for Polymer research (Germany)

Project 12: Modelling and basic understanding of natural molecules with surfaces and nanoparticles – V. Harmandaris, The Cyprus Institute (Cyprus)

Project 13: Single-Chain and Collective Structure and Dynamics of Polymer Materials – M. Müller, Georg-August-Universität Göttingen (Germany)

Project 14: Deep learning for 3D Synchrotron X-ray tomography data – M. Nikolaou, The Cyprus Institute (Cyprus) and SESAME (Jordan)

Project 15: Automated interpretation of SR-based XRF and IR spectroscopic data using machine learning approach in archaeological sciences – C. Chrysostomou, The Cyprus Institute (Cyprus)/SESAME (Jordan)

Project 17: Artificial intelligence for operator-intensive coherent X-ray imaging proceduresEuropean Synchrotron Radiation Facility (France)

Project 18: Machine Learning for the Real-Time Analysis of X-Ray Spectroscopic DataEuropean Synchrotron Radiation Facility (France)

Project 19: Microstructure and texture analysis of x-ray diffraction data using Machine Learning – European Synchrotron Radiation Facility (France)

Project 20: Bragg coherent diffractive imaging driven by Machine learning: from data collection through reductionEuropean Synchrotron Radiation Facility (France)

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