Position: Research Software Engineer for Advanced Image Annotation Tools for Surgical Data Science
Department: Medical Image Computing
Code number: 2020-0249
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.
The National Center for Tumor Diseases (NCT) in Heidelberg is advancing the field of surgical oncology in its program “Surgical Oncology” by establishing the field of surgical data science and developing a lighthouse clinical studies program, which jointly allow to validate new data science concepts and to feedback new insights into the research process. One aim of the program is to establish the largest surgical data science database worldwide, combining data sources of different domains and providing high quality annotations to push the possibilities of data science in this area.
One important data domain is image data, reaching from classical diagnostic imaging like CT, MRI or ultrasound over bioscopy video feeds to novel techniques like multi spectral or photo acoustic imaging. To gain most of these images we are constantly improving and advancing our tooling for image annotation. This is done in a cooperation between the German Cancer Research Center Division of Computer Assisted Medical Intervention (CAMI; https://www.dkfz.de/en/cami/index.php; https://twitter.com/DKFZ_CAMI_lab) and the Division of Medical Image Computing (MIC; https://www.dkfz.de/en/mic/index.php; https://twitter.com/mic_dkfz) which are pioneering research in machine learning and information processing, with the particular aim of improving cancer patient care.
Working in the highly dynamic and exciting area between AI, medical research, cloud technologies and state of the art software development, we are seeking for a motivated computer scientist or software engineer to join our team for a full-time position in order to advance our image annotation pipeline and software tools (i.a. Medical Image Interaction Toolkit (MITK) www.mitk.org).
You will be part of an interdisciplinary and vibrant research team that is developing a diverse range of state-of-the-art methodology and software components in the areas of surgical and medical image data science. In this project you have the possibility to dive into image computing and software engineering as well as to work with machine learning and cloud technologies.
- Join the design and software development of MITK, especially in the field of image segmentation/annotation
- Develop annotation tools – ranging from semiautomatic, intelligent segmentation tools to the integration of fully automated solutions
- Bring the developments into our cloud platform for large-scale application
- Research assisted and automated image annotation techniques
- Publications and presentation of the project results
- Plan and coordinate tasks as well as support the project reporting
- Master's degree in informatics or a related scientific discipline (e.g. computer science, mathematics, physics or statistics)
- Strong analytical and software development skills are essential
- Experience with programming/scripting languages (especially C++ and Python) is essential
- Experience with (medical) image segmentation is beneficial
- Experience with machine learning and associated software stacks is beneficial
- Experience with image computing, in high-performance computing environments and cloud technologies is beneficial
- Reliability, attention to detail, communication skills and the ability to work in a multidisciplinary international team will be expected
Interested and qualified applicants should at least submit a cover letter with references and a curriculum vitae.
- Interesting, versatile workplace
- International, attractive working environment
- Campus with modern state-of-the-art infrastructure
- Salary according to TV-L including social benefits
- Possibility to work part-time
- Flexible working hours
- Comprehensive further training program
Earliest Possible Start Date: as soon as possible
Duration: The position is limited to 2 years with the possibility of prolongation.
The postion can in principle be part-time.
Application Deadline: 06.11.2020
Dr. Ralf Floca
Phone +49 (0)6221/42-2560
Please note that we do not accept applications submitted via email.