Eye catcher

For any questions, do not hesitate to ask:
Dr. Michael Bussmann Tel.: +49 3581 37523 11,
Mr. Philipp von Haymerle Tel.: +49 3581 37523 21,
+49 171 3650878

Place of work:
Görlitz

Working hours:
39 h/week

Deadline:
29 July 2022

Online application
English / German
Job-Id: 2022/102 (1446)

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.

Helmholtz-Zentrum
Dresden-Rossendorf
Bautzner Landstraße 400
01328 Dresden

PostDoc (f/m/d) AI-driven decision for treatment clearance in online-adaptive proton therapy

Through cutting-edge research in the fields of ENERGY, HEALTH and MATTER, Helmholtz-Zentrum Dresden-Rossendorf (HZDR) solves some of the pressing societal and industrial challenges of our time. Join our 1.400 employees from more than 50 nations at one of our six research sites and help us moving research to the next level!

The Center for Advanced Systems Understanding (CASUS) is a German-Polish research center for data-intensive digital systems research. CASUS was founded in 2019 in Görlitz and conducts digital interdisciplinary systems research in various fields such as earth systems research, systems biology and materials research.

CASUS invites applications as PostDoc (f/m/d) AI-driven decision for treatment clearance in online-adaptive proton therapy. The research work is carried out in close cooperation with the Institute of Radiooncology – OncoRay. At the Institute of Radiooncology – OncoRay scientists (f/m/d) 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.

The position will be available from 1 September 2022. The employment contract is limited to three years.

Your tasks:

Online-adaptive proton therapy will be enabled by an AI-supported, automated feedback loop of imaging, plan adaptation and fast verification. The successful candidate (f/m/d) will work on the data-driven approval of adapted plans within the loop:

  • Generation and validation of QA machine learning models based on plan parameters, complementary dose calculation and potential delivery issues to be learnt from logfile histories
  • Development of an automated multi-feature tool chain providing decision support in an online workflow
  • Implementation of interactive feature visualization for online and retrospective inquiry and documentation
  • Publication of research results (in peer-reviewed journals and at international conferences)

Your profile:

  • Good PhD degree in Medical Physics or a related subject and having a strong data science background
  • Excellent programming skills in languages such as Python
  • Knowledge in interactive data visualization
  • Proficient use of modern deep learning frameworks
  • High motivation to work in a collaborative environment between clinic and IT also at different locations
  • Excellent communication skills in English in a scientific, multi-professional context

Our 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 accordance with the collective agreement for the public sector (TVöD-Bund) including 30 days of paid holiday leave, company pension scheme (VBL)
  • We support a good work-life balance with the possibility of part-time employment and flexible working hours
  • Numerous company health management offerings
  • An employer subsidy for the VVO job ticket

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