Published on 12.01.2023
The German Cancer Research Center is the largest biomedical research institution in Germany. With more than 3,000 employees, we operate an extensive scientific program in the field of cancer research.
Considering human interaction when designing machine learning (ML) systems bears great potential: On the one hand, decision-making in ML systems remains imperfect in practice, thus requiring human interaction for mission-critical applications such as clinical diagnostics. On the other hand, the burden of manual training data annotation can be alleviated by means of human-in-the-loop scenarios.
Taking this human-centered perspective, the Interactive Machine Learning Group headed by Paul Jäger strives to pioneer ML research directed at real-life applications. Specifically, our research involves probabilistic modeling, explainable AI, user modeling, active learning, and interactive systems with a special focus on image analysis tasks such as object detection or segmentation. A further interest lies in the appropriate and application-oriented evaluation of ML systems.
The German Cancer Research Center (DKFZ) provides a highly attractive research environment and high-impact application opportunities for our ML methodologies. Moreover, our group is part of Helmholtz Imaging, an initiative towards leveraging image processing synergies across all Helmholtz research centers. As such, we will work with diverse domain experts to tackle grand societal challenges and design human-centered ML systems for unique imaging tasks from all across Helmholtz. The group collaborates globally with top-notch ML experts and is part of a thriving AI community in and around Heidelberg by running heidelberg.ai and holding close connections to Heidelberg University as well as the ELLIS Unit Heidelberg. As part of the DKFZ-Data-Science initiative, our group has access to state-of-the-art ML computing infrastructure.
We are looking for a highly motivated outstanding researcher curious about building AI tools that can benefit society. Further requirements:
To apply, please submit a cover letter indicating your personal motivation for this position, curriculum vitae, transcripts of previous studies, as well as the name and email address of at least one reference.
Earliest Possible Start Date: as soon as possible
Duration: The position is initially limited until 31.12.2024.
The position can in principle be part-time.
Application Deadline: 26.01.2023
Dr. Paul Jäger
Phone +49 (0)6221/42-3015