ORGANISATION/COMPANYUniversité Catholique de Louvain (UCL)
RESEARCH FIELDEngineering › Biomedical engineeringPhysics › Applied physics
RESEARCHER PROFILEFirst Stage Researcher (R1)
APPLICATION DEADLINE19/07/2017 21:00 - Europe/Brussels
LOCATIONBelgium › Brussels
TYPE OF CONTRACTTemporary
HOURS PER WEEK38
OFFER STARTING DATE02/10/2017
The project is part of a broader portfolio in an interdisciplinary team, in tight collaboration with physicists, engineers, physicians, and an industrial partner.
External radiotherapy is a complex treatment for cancer consisting in irradiating the tumor with beams of photons or charged particles. Before delivering the treatment, optimal beam parameters must be computed to cover the target and spare the healthy organs. This optimization can be performed by simulating the treatment based on a patient image (CT scan) and calculating the resulting dose distribution. Monte Carlo methods provide the most accurate dose calculation by simulating numerous particle trajectories and interactions within the patient, at the cost of a longer computation time compared to the simpler macroscopic models that are currently employed in clinic.
A fast Monte Carlo code for proton therapy simulations, is developed with our industrial partner IBA (Louvain-la-Neuve) and will be released open source by the end of 2017. This fast and yet accurate Monte Carlo application could be used as an independent tool to verify the accuracy of simplified models employed in commercial treatment planning system. The research project aims at addressing key challenges for enabling the integration of Monte Carlo simulations in the clinical workflow, including:
(i) Implementation of an automatic commissioning tool for the Monte Carlo dose engine. The procedure consists in extracting and validating the beam model parameters from measurements in clinical proton therapy centers.
(ii) Management of the statistical noise inherent to Monte Carlo dose computations, including its potential impact on the evaluation of the dose distributions by clinical physicians and physicists.
(iii) Interfacing the Monte Carlo application with existing commercial software
Addressing these issues will enable the use of Monte Carlo in clinical routine, not only for quality assurance, but also for many other applications, such as dose optimization and robustness verification.
UCL is settled on a large campus with several facilities (accomodation, sport centre, etc.). DAily commute by bus or train can be partially taken in charge.
A first selection will be done on CVs only. Then the selected candidates will be invited to a second round (video interview). Final selection is expected for end of August.
REQUIRED EDUCATION LEVELEngineering: Master Degree or equivalentPhysics: Master Degree or equivalentComputer science: Master Degree or equivalent
REQUIRED LANGUAGESFRENCH: BasicENGLISH: Good
Autonomous and able to take initiatives
Good team integration
Good programming skills
English and/or French, and willing to learn the other language
Interest in image processing and medical physics
EURAXESS offer ID: 225770