Eye catcher

For any questions, do not hesitate to ask:
Prof. Dr. Christian Richter
Prof. Dr. Steffen Löck
Dr. Kristin Stützer Tel.: +49 351 458 4123,
Mrs. Kathrin Adamek-Genschmar

Place of work:

Working hours:
39 h/week

14 September 2021

Online application
English / German
Job-Id: 2021/124 (1247)

The HZDR is committed to equal opportunity employment and we strongly encourage applications from qualified female candidates. We also carefully consider all applications from job candidates with severe disabilities.

Bautzner Landstraße 400
01328 Dresden

PostDoc (f/m/d) AI-based automated adaptation and biological optimization of proton therapy

As member of the Helmholtz Association of German Research Centers, the HZDR employs about 1,400 people. The Center's focus is on interdisciplinary research in the areas energy, health and matter.

At the Institute of Radiooncology – OncoRay scientists specializing in medicine, physics, biology and IT work together to crucially improve the treatment of cancer by administering radiation therapy that is biologically-personalized and technically-optimized.

As part of the Institute, the Department of Medical Radiation Physics invites applications as PostDoc (f/m/d) AI-based automated adaptation and biological optimization of proton therapy.

The position will be available from 1 November 2021. The employment contract is limited to two years.


The successful candidate (f/m/d) will push the limits of translational medical physics research in hot-topic proton therapy projects:

  • In close collaboration with colleagues from other institutions and our clinical team, you will establish biologically optimized proton therapy treatments by implementing methods for considering the variable biological effectiveness of protons based on NTCP modelling, identified risk factors and the LET.

  • Of equal importance is your key contribution to our focus project of realizing online-adaptive proton therapy, enabled by an AI-driven, fully automated feedback loop of imaging, PGI-based treatment verification and fast adaptation. Therefore, you will develop efficient machine-learning models for fast, automated data processing and decision support, e.g. regarding the identification of adaptation needs.

The successful candidate (f/m/d) are expected to publish in peer-reviewed journals and to participate in international conferences. The supervision of students and doctoral candidates and the application for funding are self-evident tasks.


  • Holding an excellent PhD degree in the field of Medical Physics or comparable Applied / Natural Science
  • Profound knowledge in machine-learning and strong affinity to apply this in the field of radiotherapy
  • Expertise in the research field of translational medical physics for proton or ion beam therapy, ideally focussing on biological modelling is an advantage
  • Very good programming skills, e.g. in python, and competent operation of the TPS RayStation
  • Independent, pro-active, structured and solution-oriented work attitude, analytical thinking, above-average commitment and enjoyment of working in an international environment
  • Actively pursued publishing activities and first experiences in third-party fundraising
  • Experience of working in a multidisciplinary team, incl. clinicians and medical physicists
  • Strong scientific communication skills in English and preferably 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 two 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

Kindly submit your completed application (including cover letter, CV, diplomas/transcripts, etc.) only via our Online-application-system.