Organization unit:
CASUS

Place of work/ Working hours:
Dresden
Full time

Hire date:
15 July 2024

Limitation:
20 February 2026

For any questions, do not hesitate to ask:
Prof. Dr. Christian Richter

Deadline:
15 May 2024

Online application
English / German
Job-Id: 2024/51 (1864)

At HZDR, we promote and value diversity among our employees. We welcome applications from people with diverse backgrounds regardless of gender, ethnic and social origin, belief, disability, age, and sexual orientation. Severely disabled persons are given preference in the event of equal suitability.

Logo berufundfamilie

Logo Charta der Vielfalt

Helmholtz-Zentrum
Dresden-Rossendorf
Bautzner Landstraße 400
01328 Dresden

Postdoc (f/m/d) Automated decisions on adaptation need in online-adaptive proton therapy

With cutting-edge research in the fields of ENERGY, HEALTH and MATTER, around 1,500 employees from more than 70 nations at Helmholtz-Zentrum Dresden-Rossendorf (HZDR) are committed to mastering the great challenges facing society today.

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.

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.

CASUS is looking for a Postdoc (f/m/d) Automated decisions on adaptation need in online-adaptive proton therapy. 

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 fast data-driven decisions regarding the initiation of plan adaptations within the loop:

  • Generation and validation of machine learning models for the automated decision on the adaptation need based on imaging data, changes in anatomy and proton range and on complementary dose parameters
  • 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

  • Completed university studies (PhD) in the field of Medical Physics or a related subject and having a strong data science background
  • High motivation to work in a collaborative environment between clinic and IT also at different locations
  • Excellent programming skills in languages such as Python
  • Knowledge in interactive data visualization
  • Proficient use of modern deep learning frameworks
  • Excellent communication skills in English or German 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
  • 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, mobile working and flexible working hours
  • Numerous company health management offerings
  • Employee discounts with well-known providers via the platform Corporate Benefits
  • An employer subsidy for the "Deutschland-Ticket Jobticket"

We look forward to receiving your application documents (including cover letter, CV, diplomas/transcripts, etc.), which you can submit via our online-application-system.