Team Lead Position in Data-Centric AI 05.06.2026 Deutsches Krebsforschungszentrum (DKFZ) Heidelberg
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Team Lead Position in Data-Centric AI
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Heidelberg
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Team Lead Position in Data-Centric AI
Heidelberg
Aktualität: 05.06.2026
Anzeigeninhalt:
05.06.2026, Deutsches Krebsforschungszentrum (DKFZ)
Heidelberg
Team Lead Position in Data-Centric AI
Über uns:
The German Cancer Research Center (DKFZ) is one of Europe's largest cancer research centers. «Research for a life without cancer" is the mission of our world-class scientists and all our team members. The DKFZ is a place where the brightest minds pursue bold ideas and seek answers to pioneering scientific questions through collaboration, innovation, and exploration across many disciplines. We provide a dynamic environment that empowers excellence with state-of-the-art technologies, cutting-edge infrastructure, and a global scientific network. Contribute your knowledge, vision, and dedication to create a space where scientific discovery in cancer research is transformed into benefits for human health. As a core partner in Helmholtz Imaging (HI), the German Cancer Research Center is committed to advancing imaging science and technology across all scales, modalities, and scientific domains together with the Max Within HI, DKFZ contributes a strong focus on AI-based image analysis and AI validation, offering an attractive research environment with excellent infrastructure, mentoring for young investigator group leaders, administrative support for extramural We are seeking, at the earliest possible date, an excellent researcher with an outstanding scientific record in machine learning and data-driven methods for imaging to fill a The group's methodological focus will be on developing algorithms and frameworks that ensure stable and predictable model behavior under real-world variability and perturbations, such as changes in acquisition devices, experimental setups, environmental Robustness is understood as a key building block toward trustworthy deployment of AI systems in high-stakes scientific, industrial and biomedical applications.
Aufgaben:
* The Young Investigator Group will complement DKFZ's image analysis and AI methodology activities by focusing on data-centric AI and robust machine learning for imaging across domains, with applications spanning biomedical imaging and
* The group leader is expected to actively collaborate with HI support and scientific teams at DKFZ, DESY, UFZ and MDC, contributing to Helmholtz Imaging support activities, including direct interaction with Helmholtz researchers The role includes contributions to training, knowledge transfer and education (e.g., seminars, lecture series, summer schools, workshops, and supervision of students and early-career researchers), as well as national and international representation of In addition, the group leader is expected to contribute, together with other HI teams at DKFZ, to strategic initiatives and to the continuous shaping of the HI mission.
Qualifikationen:
* Robustness to distribution shifts, domain adaptation, and domain generalization
* Out-of-distribution detection and modeling
* Uncertainty estimation
* Innovative data curation approaches
* Learning under label noise and weak supervision
* Synthetic data generation
* Fairness research
* Active and interactive machine learning
* Trustworthy AI validation
* A PhD in computer science, physics, mathematics, or a related discipline with less than 6 years of postdoctoral experience at the time of application (excluding child-rearing periods)
* Outstanding scientific record with deep expertise in machine learning, AI, computer vision, and data processing, with experience in collaborative software development
* Highly collaborative, open-science mindset, strong self-motivation, and interest in pursuing innovative research at the frontiers of machine learning
Berufsfeld
Bundesland
Standorte
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