PhD student (f/m/d)
Automated QA for online adaptive proton therapy

Tasks:

• Our long-term strategy is to translate online adaptive proton therapy into clinical reality by combining modern in-room imaging and innovative treatment verification with fast and quality-assured adaptation. Within this context, your project goal is to develop an automated multi-aspect quality assurance (QA) chain for the final approval of the adapted therapy. The different aspects may include the approval for:
  • The reconstruction and registration of in-room images
  • The properties of automatically generated contours
  • The descriptive features and dosimetric quality of adapted treatment plans
• You will present your results on time- and workflow-efficient online QA, which potentially includes AI-assisted methods, at international conferences and in peer-reviewed high-ranking publications
• You will also have the opportunity to supervise research projects of Bachelor and Master students

Requirements:

• Very succsessfully completed studies in the field of Medical Physics, Applied Computer Sciences, Physics or a comparable applied/natural/engineering science
• Excellent programming skills in a high-level programming language (Matlab, Python etc.)
• Experience in machine learning, preferably for medical physics applications
• Sound knowledge about radiotherapy, preferably in proton therapy and medical imaging
• Excited about working as a team player in a group of motivated interdisciplinary professionals
• Structured and solution-oriented working style, analytical thinking and above-average commitment
• Very good communication skills in English and preferably also in German

We offer:

• A vibrant research community in an open, diverse and international work environment
• Scientific excellence and extensive professional networking opportunities
• The employment contract is limited to three years
• Salary and social benefits in conformity with the provisions of the Collective Agreement TVöD-Bund
• 30 days of paid holiday leave
• Company pension scheme (VBL)
• A good work/life balance for which we offer assistance in the form of:
  • Possibility to work part-time
  • Flexible working hours
  • In-house health management