Protontherapy is a radiotherapy modality that achieves very high dose conformity around the target, allowing a better protection of the organs at risk (decreasing radiation side effect). Nevertheless, to evaluate the consequences of protontherapy treatments accurately, new instruments to quantify the LET or RBE distributions are needed. This is the challenging where our project is focus on: we aim at incorporating novel microdosimetry arrays for quantifying the 2D LET maps in clinical facilities.
In this context, we offer a position to do a PhD to a master's student. The main research activity will be the development of innovative GPU-based calculation algorithms and advanced machine learning-based analytics to develop an on-the-flight LET-painting tool. It will be complemented with experimental microdosimeters that have already demonstrated their feasibility in clinical fluence rates. The overall goal is to pave the way to their clinical implementation in proton therapy. The candidate will also be trained in experimental tasks related to radiation detector characterization and microdosimetry tests in proton therapy centers.
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