Advancements in radiotherapy are crucial given the global rise in cancer incidence, which poses significant societal and economic burdens. Effective radiotherapy can vastly improve patient outcomes, reducing mortality and enhancing quality of life. High precesion proton therapy for thoracic tumors is an innovation in this perspective and has to be developed and clinically deployed. You will be part of the PROTHORAC project team, a research collaboration between the three Dutch proton therapy (PT) centers (UMCG, Maastro and HollandPTC) and affiliated universities, funded by KWF Kankerbestrijding.
The overall aim is to advance the dose-guided patient positioning for proton therapy of moving tumors in the hemithorax, to ensure automated, fast, accurate and precise patient pre-treatment alighnment to increase the accurate treatment delivery and trigger treatment adaptation. The expected outcome will be an efficient workflow for precise PT which, when clinically implemented, will reduce radiation induced side effects.
The project aims to develop the following technical solutions:
1. Develop and clinically evaluate reproducible breath-holding and regularized shallow breathing assisted by mechanical ventilation (Maastro);
2. Develop and implement probabilistic treatment planning to mitigate residual uncertainties more effectively (HollandPTC);
3. Develop and evaluate fast, precise, and efficient automated dose-guided patient positioning (UMCG);
4. Test the proposed solutions in a single workflow in a prospective in-silico feasibility trial (all sites).
The project hosts 3 PhD candidates, each located at one of the PT centers. Close collaboration between the PROTHORAC project PhD candidates is essential and will be accommodated through reciprocal site visits.
Job description
At UMCG, you will develop fast, precise and efficient Artificial Inteligence and Monte Carlo driven automated dose-guided patient positioning (DGPP) in conjunction with probabilistic treatment planning for lung and esophageal tumors and respiratory motion management, developed by the other PT centers.
To that end, your tasks are to:
- determine the DGPP residual setup uncertanties on the images employed;
- develop minute-scale methodology for dose guided guided moving target proton therapy;
- valid GPU- and AI-based optimized Monte Carlo dose calculations;
- test the proposed single workflow in a prospective in-silico feasibility clinical trial.
You are a highly motivated candidate with a master’s degree in (Applied) Physics or Mathematics, Technical Medicine, Biomedical Engineering, or a related discipline. You are able to translate complex theoretical concepts into practical processes and guidelines. As you will be part of a multi-disciplinary team, good communication skills are essential.
You are ambitious, results-driven and an excellent team player. Excellent technical skills as well as academic writing and presentation skills in English are required. You are enthusiastic about solving a problem via programming (Matlab, Python, and C/C++), AI and Monte Carlo simulations and interested in mathematical modelling.
Being able to present a certificate of good conduct is a condition for the appointment.
