ENGAGE (“Enabling the next generation of computational physicists and engineers”) is an interdisciplinary, intersectoral and multi-institutional project offering quality training to a total of 20 doctoral students in the fields of Computational High Energy Physics, Multiscale Systems and Synchrotron Light Applications. It aims to develop students’ competencies in High-Performance Computing, in methodologies at the intersection of Artificial Intelligence and Data Science approaches and Quantum Computing.
We invite applications for the following 6 PhD positions:
Project 10: Multi-scale simulation methodologies of organic semiconductors for morphology control – 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 the derivation of finite element models from 3D synchrotron X-ray tomography data – M. Nicolaou, The Cyprus Institute (Cyprus) /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 16: Development of machine learning methods for data analysis of X-ray diffraction mapping applied to cultural heritage – European Synchrotron Radiation Facility (France)
Project 19: AI strategies for protein crystallography – European Synchrotron Radiation Facility (France)
Eligible candidates must have a Master’s degree from an accredited institution in the fields of either Physics, Mathematics, Engineering, Computer Science or any other relevant field. Candidates with computational background and skills will be considered to have an advantage.
For more information regarding ENGAGE, the eligibility criteria and to apply please visit the project website.
For full consideration applicants need to apply by 21st of October 2022. The positions will remain open until filled.
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