Job description

Cone-Beam Computed Tomography Enhancement Researcher

(PhD student position)                                                       (M/F/D)

to be a Fulltime Member of Our Team 

If you’re passionate about improving the world of medical technology, looking for a job with purpose, and interested in working in a cool team, we have the right position for you! 

In cooperation with the Department of Medical Physics from the Physics Faculty of the Ludwig-Maximilians-Universität (LMU, Munich), medPhoton GmbH is offering a fulltime Phd student position in the framework of a European Horizon 2020 Marie Skłodowska-Curie Innovative Training Network (ITN) in the field of adaptive particle therapy. Further information can be found under: https://raptor-consortium.com/ 

JOB DESCRIPTION:

  • Research and prototyping in the field of synthetic Computed Tomography (CT) generation from Cone-Beam CT (CBCT) image data using state of the art and beyond image processing methods
  • Understanding of the unique robotic CBCT imaging system of medPhoton, and extension of X-ray image correction algorithms and calibration methods
  • Optimization of innovative and novel imaging protocols for the robotic CBCT imaging to improve image quality in our R&D labs at medPhoton as well as at selected clinical and academic partner sites
  • Analysis and post-processing of CBCT data to further improve the quality for use in dose replanning in the field of particle therapy (deformable image registration, iterative CT reconstruction, deep learning methods …)
  • Further detailed information on the EU project: https://raptor-consortium.com/projects/phd-position-raptor-esr3/ 

YOUR ATTRIBUTES: 

  • Passion for innovation in the field of image processing and radiation therapy
  • MSc degree in Physics or another technical discipline with strong physics background (LMU eligibility criteria,  https://www.physik.lmu.de/en/research/doctoral-study-and-habilitation/doctoral-study/index.html)
  • Due to restrictions of the EU ITN program: You may have not resided in Austria for more than 12 months in the last three years, and you have not carried out your main activity (work, studies etc.) in Austria.
  • Basic knowledge in X-ray (CT, CBCT) physics, imaging and image processing
  • Basic knowledge of deep learning concepts and frameworks (e.g. TensorFlow, KERAS or similar)
  • Skills in scripting languages (Matlab, Phython or similar)
  • C++ and CUDA skills are a plus
  • Knowledge of RTK (or other reconstruction libraries) and Monte Carlo simulation frameworks (e.g. Geant4) are a plus
  • Any deeper knowledge in software engineering or (CB)CT reconstruction are a big plus

WHAT WE OFFER YOU:

  • A motivating work atmosphere in a young, dynamic team 
  • An exciting and varied scope of research including interdisciplinary cooperation with your colleagues from physics, software, automation and mechanical engineering teams
  • The opportunity to grow with us, be directly involved and participate in our company’s success 
  • A secure, permanent full-time contract 
  • Generous social benefits within our culturally diverse enterprise – consisting of 19 nations!
  • Freshly-cooked meals and healthy snacks provided daily
  • Good public transport connections and parking facilities (for both, four and two wheels) available
  • As a family-friendly company, we are happy to support you in your daily obligations (childcare etc.)          by means of flexible working hours
  • Collaboration with the renowned Ludwig-Maximilians-Universität (LMU, Munich) and further institutions in the course of secondments
  • Close interaction with the other ESRs of the RAPTOR consortium and enjoying a broad educational Marie Curie portfolio

 

If this offer sounds too good to be true and a great fit for your next career goals, let us know and follow the application process as described on the next page. Should you have questions prior to submitting your application, do not hesitate to contact us:

jobs@medphoton.at

medPhoton GmbH | Karolingerstraße 16 | A-5020 Salzburg | T. +43 699 161 053 86