Opportunity for the IgnitePLASMA project

We are looking to hire two postdocs at the In Silico Modelling Group (https://in-silico-modelling.uc...) of the Mechanical & Manufacturing Engineering Department in the University of Cyprus.

1) High-Performance Computing and Simulations of Plasma Fluid Dynamics in Biomedicine: The aim of this project is to develop and deploy computational models to simulate the dynamics of cold atmospheric pressure plasma (CAP) and the interaction of CAP with biological tissues. This is to be explored through established numerical simulation tools (FEM, FVM) and cutting-edge surrogate models to speed up computations of the in silico.

2) Multiscale and Multiphysics Models of Therapeutics Delivery: The aim of this project is to develop novel in silico models, which extend from the tissue/organ-scale to the cell-scale, to simulate the delivery and effect of plasma in combination with chemotherapeutics against solid tumours and implement imaging algorithms capable to fusing laboratory data into the in silico.

Both postdoctoral projects will be based at the University of Cyprus (Cyprus), with visits to the Sorbonne University (France) and the University of Patras (Greece). The posts are funded by the European Innovation Council as part of the Pathfinder project: IgnitePLASMA (https://cordis.europa.eu/proje...) which aims to develop novel cancer treatments based on CAP.

The start of the positions is flexible, i.e., from May 2024, but is preferrable to start by October 2024 the latest. The duration of each contract is for 2 years, which can be extended up to 2 years.

How to apply?
Interested candidates can send an expression of interest via email to the project coordinator Dr V. Vavourakis ([email protected]) and Dr C. Anastassiou ([email protected]...).

Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the granting authority. Neither the European Union nor the granting authority can be held responsible for them. This project has received funding from the European Union’s Horizon 2020 or Horizon Europe research and innovation programme under grant agreement No 101129853.

Funded by
the European Union