Ph.D. in Computational Sciences

Modelling and Simulation for Engineering Applications
The Modelling and Simulation for Engineering Applications (SimEA) WIDENING Horizon 2020 project has accepted three fully-funded Ph.D. students to undertake research projects at the interface of materials science, data analytics and engineering. The Ph.D. students will pursue research in modelling and simulation of complex systems in condensed matter, through the development of modern tools and methodologies, from High-Performance Computing, multi-scale modelling, data science and artificial intelligence. All research projects concern systems/materials of great scientific and technological interest, such as nanocomposites, polymers, graphene-based nanostructured materials, proteins and biomolecular systems. The research interests of the following three PhD students resonate well with the research topics in the SimEA project:

 

Eleftherios Christofi

Eleftherios Christofi was awarded his Bachelor of Science degree in Mathematics at the University of Crete. Thereafter, he completed his Masters degree in Applied Mathematics, working on “The Optimisation Algorithm in Machine Learning”. Currently, he is a Ph.D student at CyI, working on the developement of multi-scale simulation approaches for complex molecular systems via hybrid physics-based data-driven methods.

 

Nikolaos Patsalidis

Nikolaos Patsalidis is a mechanical engineer. He completed his Bachelors with integrated Masters degree at the National Technical University of Athens where he specialized in Air and Ground Transport Vehicles Option (AGTVO). He has recently embarked on a Ph.D at CyI, working on the development and application of simulations and machine-learning methods for studying complex nanostructured materials.

 

Pavel Zarva

With a Masters degree in Applied Mathematics from the University of Guelph and experience in scientific and High Performance Computing, Pavel Zarva is well suited to the SimEA project. His research interests lie in the modeling of biofilm growth with numerical algorithms. Pavel is due to commence his Ph.D in 2021 and will work on the development and application of simulations and continuum methods for studying the wetting of fluids at soft or hard surfaces.