Position: Young Investigator Group Leader Position “Interactive Machine Learning"
Department: Interactive Machine Learning
Code number: 2020-0183
The German Cancer Research Center is the largest biomedical research institution in Germany. With approximately 3,000 employees, we operate an extensive scientific program in the field of cancer research.
The German Cancer Research Center (Deutsches Krebsforschungszentrum, DKFZ) in Heidelberg is the largest biomedical research institute in Germany. Together with Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC, Berlin, Germany) and the Deutsches Elektronen Synchrotron (DESY, Hamburg, Germany), the DKFZ will implement and operate the Helmholtz Imaging Platform (HIP). HIP drives and promotes synergies across the entire imaging pipeline at different scales in space and time including a versatile range of modalities and applications within the Helmholtz Association. The DKFZ focuses on the image analysis activities of HIP, offering a highly attractive research environment with a broad spectrum of opportunities for scientific collaborations. We provide excellent research conditions, mentoring for young investigator group leaders, administrative support for extramural grant applications (e.g. ERC), access to state-of-the-art core facilities, a family-friendly environment, and an international and collegial research atmosphere.
We are looking for an excellent researcher with an outstanding scientific record of accomplishments in machine learning with high interest in interactive components. Within HIP, the independent group will complement the DKFZ image analysis activities by focusing on the design and implementation of algorithms and intelligent user interface frameworks that facilitate machine learning with the help of human interaction.
Potential research topics include active learning, transfer learning, incremental learning, one-shot learning, online learning, out-of-distribution modeling, human-AI collaboration, human computation, crowdsourcing, gamification, human-computer interaction, intelligent user interfaces and user modeling. The post holder is expected to actively cooperate with HIP service and scientific units at DKFZ, DESY and MDC, supporting the development, promotion and distribution of HIP solutions across the Helmholtz Association and the existing research networks of the DKFZ. Contributions to teaching and education are expected.
The Young Investigator Group will be funded for an initial period of 5 years with a tenure option upon review. A core funding will be provided for four positions (including group head) plus consumables and starting equipment. Recruitment of additional, third party funding on topics independent from the core research program will be enabled and is encouraged. Furthermore, the successful candidate will have the option to participate in mentoring and leadership programs.
- Eligible applicants are scientists (PhD or MD degree in computer science, physics, mathematics or related fields) with less than 6 years of postdoctoral experience at the time of application (excluding child-rearing periods).
- Applicants must have an outstanding scientific record of accomplishments and international research experience. The ideal candidate is highly self-motivated and expected to pursue highly innovative projects at the frontiers of machine learning research.
- Further relevant qualifications include a profound knowledge in the fields of machine learning, AI, computer vision and probability theory, an excellent record in open source software development, experience in collaborative software development, as well as proven record of interdisciplinary collaboration with other research and application domains.
To apply, please send a single PDF file containing a cover letter, curriculum vitae, list of publications, summary (max. 3 pages) of past research and future plans as well as names and addresses of three references to the Scientific Director Prof. Michael Baumann.
Applications must be submitted by September 07, 2020 via the online application portal (www.dkfz.de/jobs). Applications will be preselected and short-listed candidates will be invited either via video conference or in person in October/November 2020 to present and discuss their research and future plans.
- 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 5 years.
The position can in principle be part-time.
Application Deadline: 07.09.2020
PD Dr. Klaus Maier-Hein
Phone +49 (0)6221/42-2354
Please note that we do not accept applications submitted via email.