Published on 09.01.2023
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.
We are looking for an excellent machine learning engineer with a passion for building AI solutions in the field of computer vision. This position comes with the opportunity to broaden your expertise to the full spectrum of thrilling research in the Helmholtz Association, ranging from aeronautics to deep-sea research, from astronomy to particle physics and from medical applications to climate research. Typical projects involve tight collaboration with researchers from these application domains where you will be tasked with devising suitable image analysis strategies, developing customized image analysis algorithms and identifying and adapting the best-matching state-of-the-art computer vision solutions to the specific problem at hand. In addition, you will support the development of domain-agnostic out-of-the-box solutions (for example nnU-Net) which unlock scalable problem solving within Helmholtz and beyond.
The position is embedded in Helmholtz Imaging, an initiative of the Helmholtz Association dedicated to elevating imaging-related research within Helmholtz to the next level through fostering synergies between engineers and researchers. The position is part of the ‘Applied Computer Vision Lab’ (ACVL) led by Fabian Isensee. The ACVL is tightly woven into the scientific infrastructure of the DKFZ and Helmholtz Imaging. This ensures a close connection to the most recent scientific developments in the field as well as an opportunity to take part in exciting science projects. Our partners in Heidelberg include the Junior Research Group Interactive Machine Learning, the Division of Intelligent Medical Systems and the Division of Medical Image Computing. A state-of-the-art GPU cluster with over 200 GPUs provides the necessary hardware for running extensive experiments.
To apply, please submit a brief cover letter stating your motivation for this position, curriculum vitae, name and email address of one reference as well as degree certificates and transcripts. Only complete applications can be considered.
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: 20.01.2023
Dr. Fabian Isensee
Phone +49 (0)6221/42-2353
Image: Brett Jordan on Unsplash