PhD Student-ESR10

MSC-ITN (EU2020) RAPTOR project: ESR10 – Plan approval for daily plan adaptation

Your tasks

The RAPTOR (Real-time Adaptive Particle Therapy Of Cancer) Maria Sklodowska-Curie Innovative Training Network (ITN) is recruiting 15 highly motivated PhD students: two of them will be enrolled at PSI. The offered positions are available with a starting date from summer 2021. More information on the available positions and on the selection criteria are available on the RAPTOR web-page: www.raptor-consortium.com.

Background: Proton therapy PT is an advanced type of radiotherapy used to treat a constantly rising number of cancer patients. PT allows to target tumour with a high accuracy while sparing healthy surrounding tissue from dose. However, changes in anatomy or positioning and organ motion give rise to uncertainties which need to be further minimized to exploit the full benefits of PT. Adapting PT plans in real time has the potential to provide truly personalized treatments, allowing for better target control and less toxicity. The main objective of RAPTOR is to advance the proton therapy for real-time use.

The researchers recruited in RAPTOR will conduct research projects at both academic and non-academic health care facilities which will sharpen your focus on clinical needs with respect to real-time adaptive PT. The active involvement of industry ensures that the transfer of industry-relevant skills is an integral part of individual projects.

The recruited candidates will acquire a broad range of advanced and transferable skills within a unique, innovative, multidisciplinary and inter-sectoral training environment. Regular training schools and secondments to other EU academic and industrial partners are planned for each project. On-line adaptive proton therapy will require the rapid assessment of new proton treatment plans. The current method of visualizing plans using planar dose distributions and dose volume histogram (DVH) curves is not the optimal method for rapid dose comparisons. The primary objectives of this project are (i) to develop rapid and automatic quality assurance tools to assist the plan approval process and (ii) to develop novel methods of detecting and visualizing plan changes. Additionally, as to speed-up the on-line approval process, only a selected number of essential quality assurance checks can be performed, the development of an accurate off-line review has also to occur. Finally, the validation of the full approval workflow in a clinical environment will be performed

Your profile

  • MSc degree in Physics, Biomedical Engineer, Software Engineer or related studies
  • Have less than 4 years of research experience (after obtaining the master degree)
  • Have to comply to the European mobility rule (applicants have not resided or carried out her/his main activity in the country to be recruited in for more than 12 months in the last 3 years)
  • Fluent in English (oral and written)
  • Research interest and ambitions for excellence in medical physics
  • Analytical skills and ability to work independently
  • Good communication skills relevant for working in an international and interdisciplinary research group
  • Background in proton therapy, scientific computing, image processing, machine learning is an asset

We offer

Our institution is based on an interdisciplinary, innovative and dynamic collaboration. You will profit from a systematic training on the job, in addition to personal development possibilities and our pronounced vocational training culture. If you wish to optimally combine work and family life or other personal interests, we are able to support you with our modern employment conditions and the on-site infrastructure.

For further information and to apply please visit www.raptor-consortium.com.
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For further information, please contact Dr Francesca Albertini, phone +41 56 310 52 39 or e-mail francesca.albertini@psi.ch.

Please submit your application online by 15 March 2021 (including addresses of referees) for the position as a PhD Student-ESR10 (index no. 1720-01).

Paul Scherrer Institut, Human Resources Management, Patrizia Meister, 5232 Villigen PSI, Switzerland
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