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

Detailansicht des Stellenangebots Stellendetails zu: Postdoc (f/m/d) Automated decisions on adaptation need in online-adaptive proton therapy Postdoc (f/m/d) Automated decisions on adaptation need in online-adaptive proton therapyKopfbereichArbeitMedizinphysiker/inPostdoc (f/m/d) Automated decisions on adaptation need in online-adaptive proton therapyHelmholtz-Zentrum Dresden - Rossendorf e.V.VollzeitDresdenab 15.07.2024befristet bis 20.02.2026HeuteStellenbeschreibungPostdoc (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.
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