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Position: PhD Student
Institution: Paul Scherrer Institut
Location: Villigen, Aargau, Switzerland
Duties: 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. 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; As part of the adaptive process, new volumetric images of the patient are acquired every day. In order to accurately record the treatment dose delivered to the patient, it is necessary to accumulate the dose distribution optimized on the daily image on a common anatomy. for this process, a deformable image registration (DIR) between each daily volumetric image and the reference image has to be performed. It is well known that this task is ambiguous, in that there are many different solutions to the DIR problem between any two data sets, none of which is necessarily correct. Consequently, the dose accumulation is also inherently uncertain; The main goal of the PhD project is to recognise regions and treatment plans with a reduced sensitivity to DIR uncertainties and with an increased robustness of the accumulated dose. The candidate will address this (i) by improving the quality of the DIR algorithm and (ii) by developing a visualization tool to guide the user to the selection of the treatment plan more robust to (i.e. less affected by) DIR uncertainties
Requirements: 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 Europea 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
   
Text: Skip to main content DE EN FR MENU Suche Suche Suche Hauptnavigation Labs & User Services Open mainmenu item Overview Research at PSI Research Divisions and Labs Facilities and Instruments Research Initiatives PSI User Labs Scientific Highlights Scientific Events Scientific Career Useroffice Visitors Open mainmenu item Overview Contact How to find us Public Events Visitor Centre psi forum Schülerlabor iLab Center for Proton Therapy Industry Open mainmenu item Overview Technology Transfer Spin-off Companies PARK innovAARE Our Research Open mainmenu item Current topics from our research Matter and Material Human Health Energy and Environment Large Research Facilities Brochures Films Media Corner Career & Further Education Open mainmenu item Job Opportunities Personnel Policy Working at PSI Equal Opportunities, Diversity & Inclusion Training and Further Education Vocational Training PSI Education Centre Support Program "PSI Career Return Program" PSI-FELLOW/COFUND About PSI Open mainmenu item PSI in brief Strategy Guiding principles Facts and figures Organisational structure Suppliers and customers Customers E-Billing IT and Computing Safety at PSI (in German) Suche Suche You are here: PSI Home Education and Jobs Job Opportunities PhD Student-ESR1 Secondary navigation Education and Jobs Job Opportunities Expanded submenu item Our application process at a glance Jobmail Spontaneous application Further Positions in the ETH Domain Personnel Policy Open submenu item Principles Collaboration and leadership Human Resources Development HRS4R Working at PSI Open submenu item Employment Conditions Social Benefits Further positive points Corporate Social Responsibility Training and Further Education Open submenu item Higher Education Vocational Training School Lab High-school matricu­lation projects PSI Education Centre Support Program "PSI Career Return Program" Open submenu item Eligibility Criteria Members of the evaluation committee PSI-FELLOW/COFUND - International Fellowship Programme for Postdocs Useful links Equal Opportunities, Diversity & Inclusion Homepage PSI Education Centre Homepage Vocational Training Homepage Career Center The Paul Scherrer Institute PSI is the largest research institute for natural and engineering sciences within Switzerland. We perform cutting-edge research in the fields of matter and materials, energy and environment and human health. By performing fundamental and applied research, we work on sustainable solutions for major challenges facing society, science and economy. PSI is committed to the training of future generations. Therefore, about one quarter of our staff are post-docs, post-graduates or apprentices. Altogether, PSI employs 2100 people. PSI is a pioneer in the field of proton therapy. It conducts technological and clinical research in order to optimize spot scanning proton beam therapy and to extend the spectrum of indications for proton radiotherapy. Besides research activities, PSI provides a clinical program for patients presenting with indications that are accepted by the Swiss Health Care System for proton beam therapy. The Center for Proton Therapy collaborates closely with departments for radiotherapy at universities and Swiss cantonal hospitals. For the Center of Proton Therapy we are looking for a PhD Student-ESR1 MSC-ITN (EU2020) RAPTOR project: ESR1 - Dose accumulation and uncertainty estimation 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. As part of the adaptive process, new volumetric images of the patient are acquired every day. In order to accurately record the treatment dose delivered to the patient, it is necessary to accumulate the dose distribution optimized on the daily image on a common anatomy. For this process, a deformable image registration (DIR) between each daily volumetric image and the reference image has to be performed. It is well known that this task is ambiguous, in that there are many different solutions to the DIR problem between any two data sets, none of which is necessarily correct. Consequently, the dose accumulation is also inherently uncertain. The main goal of the PhD project is to recognise regions and treatment plans with a reduced sensitivity to DIR uncertainties and with an increased robustness of the accumulated dose. The candidate will address this (i) by improving the quality of the DIR algorithm and (ii) by developing a visualization tool to guide the user to the selection of the treatment plan more robust to (i.e. less affected by) DIR uncertainties. 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 Europea 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 . (Our apply now button does not work) 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-ESR1 (index no. 1720-00). 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