Your tasks
- Conduct independent and collaborative research within the RAPTORplus framework
- Interact closely with radiation oncologists, medical physicists, radiotherapy technologists and industry partners
- Present your work at RAPTORplus training events, international conferences and in peer-reviewed journals
- Participate in network-wide training camps, online courses and secondments
- Map current and future OAPT workflows at PSI, Erasmus MC and HollandPTC (process-mapping, time-stamping, resource use)
- Design and implement semi-automated and automated modules (e.g. scripts, software tools) to streamline daily image processing, contouring, plan adaptation and approval
- Evaluate plan-quality vs efficiency trade-offs for strategies such as hypofractionation, reduced beams/spots and mixed photon–proton courses
- Develop and apply costing and cost-effectiveness models for OAPT vs conventional PT, including scenario analyses for different tumour sites and indication–strategy pairs
- Work with health-economists, insurers and patient organisations to incorporate preferences and acceptable incremental costs into a multi-criteria decision-support framework
- make OAPT workflows efficient, robust and affordable
- advance key imaging and verification technologies, and
- integrate biomarkers and health-economic considerations for right-time adaptation and personalised care
- Investigate strategies to speed up treatment delivery (e.g. reducing number of beams/spots, optimised dose-rate, hypofractionation, triggered adaptation) while preserving plan quality and safety
- Build and apply a cost model for OAPT, using time-driven activity-based costing and health-economic methods to quantify the impact of automation and different clinical strategies on treatment-room time and staff use, cost per patient and cost-effectiveness, centre throughput and workflow robustness
- Integrate patient & public preferences (e.g. willingness to accept longer sessions vs fewer visits, reduced toxicity, travel distance) and insurer/regulator perspectives into a multi-criteria decision-support tool for cost-effective use of OAPT
Your profile
- MSc degree in physics, biomedical engineer, software engineer or related studies
- OR health economics, health sciences, with quantitative and analytical orientation
- Less than 4 years of full-time research experience (after obtaining the Master’s degree) at the time of recruitment
- Fulfil the European MSCA mobility rule: you must not have resided or carried out your main activity (work, studies, etc.) in Switzerland for more than 12 months in the 36 months immediately before your recruitment date
- Fluency in English (oral and written, C1 level)
- Strong quantitative and analytical skills and the ability to work independently
- High motivation to pursue research excellence in proton therapy and adaptive radiotherapy
- Good communication skills and enjoyment of interdisciplinary, international teamwork
- Programming skills and interest (e.g. Python, MATLAB, C++) and experience with scientific computing or data analysis
- Background in health economics or physics/engineering with interest in health-economic modelling
- Experience with costing methods, decision-analytic modelling, or biostatistics is a strong asset
- Interest in workflow optimisation, automation and scripting in a radiotherapy/proton-therapy environment
- Enjoy working at the interface of technology, clinical workflows and health policy/insurer perspectives
- Experience or interest in applying AI / machine learning to healthcare workflows, prediction models or decision-support tools
We offer
- A fully funded PhD position in a leading proton therapy centre with access to state-of-the-art clinical and research infrastructure
- Integration into the RAPTORplus Doctoral Network, including:
- network-wide training camps and online courses,
- secondments to academic, clinical and industrial partners,
- opportunities for collaboration and co-authorship across Europe
- a joint PSI–Erasmus MC PhD project
- typically ~2 years based at PSI (Villigen) and ~2 years at Erasmus MC (Rotterdam)
- employment initially at PSI (SERI funding) with a final period at Erasmus MC
- enrolment in the Erasmus MC PhD programme with joint supervision from PSI and Erasmus MC - An inspiring, interdisciplinary working environment with a strong culture of mentoring and collaboration
- Attractive employment conditions and modern on-site infrastructure, with support for combining work and family life
- DC6 – Paediatric OAPT
- DC3 – Workflow & Health Economics
- or both positions
- a cover letter specifying your motivation and preferred position(s)
- a CV (with list of publications, if any)
- degree certificates and transcripts (Bachelor and Master)
- contact details of two referees (or reference letters, if already available)
For further information, please contact:
Dr Francesca Albertini
Senior Medical Physicist & PI of the Adaptive Therapy Program
Center for Proton Therapy, Paul Scherrer Institute
Phone: +41 56 310 52 39
E-mail: Francesca.Albertini@psi.ch