Details & Application

The DAAD AInet Fellowship is awarded twice a year to a group of outstanding international early career researchers in the field of artificial intelligence. Awardees will be invited to join the Postdoctoral Networking Tour in Artificial Intelligence (Postdoc-NeT-AI), a hybrid networking program that brings them face-to-face with leading researchers with the goal to initiate collaborations and career opportunities. Additionally, awardees will be included in the DAAD AInet Fellows & Alumni Network, offering you a long-term gateway to German AI research, and bringing you together with other bright researchers from all over the world.

The Postdoc-NeT-AI 9/2021 – AI in Medicine

The call for the Postdoc-NeT-AI 9/2021 is now open for applications. The program focuses on AI applications in medicine and medical research, covering a wide spectrum from including medical imaging, intelligent biosensors, computational biology, neuroinformatics, AI for diagnostics to microbiome analysis and more.

The Virtual Networking Week | 13-17 September 2021

The first part of the Postdoc-NeT-AI 9/2021 is be the Virtual Networking Week taking place from 13-17 September 2021. Successful candidates will not only get a comprehensive insight into the German AI research landscape and the host institutions, they will even get the chance connect directly with host researchers with the best fit through 1-to-1 meetings.

One-week travel stipends

The second part of the Postdoc-NeT-AI comprises an individual one-week travel stipend to Germany (extendable by one week at your own expense). Successful candidates should use this week to follow up on the virtual networking week visiting the institutions and individual researchers firsthand and – the feasibility and point in time of the trip remains subject to the respective travel restrictions.

Get a comprehensive overview of the German AI research landscape and career options:
- Learn about AI research and funding opportunities in Germany directly from the experts at the AInet Open Days (open to all applicants),
- get to know the strong and broad German AI research system and the various career paths it offers through the selected institutions at the Virtual Networking Week,
- get individual advice and exclusive access to funding opportunities by the DAAD.
Get in touch directly with leading researchers from your field to discuss opportunities for collaborations and employment:
- Seize the unique chance of one-on-one meetings with top-researchers from the host institutions to initiate continuing relations,
- visit the institutions and Germany in person with DAAD’s one-week travel stipend,
- benefit from the connections within the growing DAAD AInet Partner Network.
Create long-term ties with other fellows and the German AI research community:
- Stay connected to the DAAD and former fellows through the DAAD AInet Fellows & Alumni Network,
- join one of the DAAD AInet Working Groups to be connected among each other and with research and networking opportunities according to your specific interests.
Candidates should have:
- a very strong scientific track record evidenced by relevant publications and/or academic accomplishments,
- obtained a PhD/doctorate no longer than 5 years ago – candidates for a PhD/doctorate should be in their final year before their defense,
- experience (or at least demonstrated interest) in the host institutions’ areas of research,
- not been affiliated with a German institution during the last two years.

@ Helmholtz AI

The Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC) is one of the world’s leading biomedical research institutions. The Center’s program follows in the footsteps of its namesake, Berlin-born Nobel laureate Max Delbrück, who was one of the founders of molecular biology. He exemplifies the courage to pursue one’s own ideas and think beyond the borders of individual disciplines, as well as the open-mindedness of an international perspective.

The scientists working at the MDC come from some 60 different countries. They use state-of-the-art methods to analyze the human system – the biological foundations of life from its most elementary building blocks to systems-wide mechanisms. Only by understanding what regulates or disrupts the natural balance in our cells, in our organs or in our entire body can we effectively prevent diseases. This knowledge offers the chance to diagnose diseases much earlier and to stop the progression of diseases with tailored therapies before they can cause major damage to the body. The ultimate goal is molecular medicine.

Bonn

The DZNE is a leading research institution on neurodegeneration, where international scientists investigate diseases such as Alzheimer's, Parkinson’s, and ALS and develop novel approaches to prevention, therapy, and patient care. The DZNE pursues an interdisciplinary scientific strategy across Fundamental, Clinical, and Health Care Research, Population Studies, and Systems Medicine.

Visit their website at dzne.de.

The Image Analysis group, directed by Prof. Reuter, focusses on developing AI/deep learning methods for the automated analysis, segmentation, and classification of medical imaging data. Their methods are, e.g., used by several large cohort studies such as ADNI, UKBiobank and the RhinelandStudy, and thousands of scientists around the world.

Visit their website here.

AI in medicine in...

Berlin

Technical University of Berlin

Charité
More information follows soon!
Essen

Our mission is to bring artificial intelligence technologies to clinical research and patient care to foster the discovery of medical knowledge and improve healthcare, thus contributing to the well-being of people. We work in close cooperation with the established classical medical disciplines and are integrated in an outstanding scientific environment. As part of the Medical Faculty of the University of Duisburg Essen and the University Hospital Essen. Our strength is the scientific excellence of our team - at all career levels. With five new professorships and a graduate college (GRK 2535) funded by the German Research Foundation. We continue to grow and offer exceptional opportunities to young scientists in this outstanding environment.

Twitter @IkimUME - LinkedIn IKIM

Hamburg

Universität Hamburg (UHH) is the largest research and education facility in Northern Germany, with four clusters of excellence in the natural sciences. Multidisciplinary efforts at the German Electron Synchrotron DESY and several structural biology and biomedical informatics labs form a hotspot for the development of AI technology for systems and network medicine, including the center for biomedical AI (bAIome) at the University Medical Center UKE.

Our international teams use cutting-edge AI tools to unravel the molecular triggers that disrupt molecular homeostasis, in order to identify paths towards personalized therapies, and to enable molecular medicine.

Visit the Computational Systems Biology lab of Prof. Dr. Jan Baumbach, the Human-Computer Interaction research group of Prof. Dr. Frank Steinicke. Visit the Institute of Medical Systems Biology of Prof. Stefan Bonn, the Institute for Applied Medical Informatics of Prof. Frank Ückert and the Center for Biomedical AI here.

Lübeck

The Center of Artificial Intelligence Lübeck (ZKIL) brings together relevant institutions and clinics at the University of Lübeck and supports research mainly in the field of medical AI through working groups, research and transfer projects, and the acquisition of funds.

The goal of the participating institutions is to apply AI technologies both to better understand neurological und biomedical processes and to solve practical medical problems like medical imaging.

The German Research Center for Artificial Intelligence (DFKI) is the leading research center in Germany developing innovative commercial software technology using Artificial Intelligence. Research and development projects are conducted in 24 research departments, nine competence centers and eight living all over Germany.

The branch office in Lübeck focuses in the research fields of Artificial Intelligence in Biomedical Signal Processing, Artificial Intelligence in Medical Imaging, and Stochastic Relational AI in Healthcare.

Visit their website here.

The Fraunhofer IMTE in Lübeck focuses on the integrated development of medical devices for diagnostic and therapeutic applications. The holistic approach to research questions and projects in Individualized Medical Technology at Fraunhofer IMTE, from basic research to medical device construction, thus paves the way for the translation of personalized instrumentation into clinical and commercial applications.

Visit their website at imte.fraunhofer.de.

The Fraunhofer IMTE uses modern methods of machine learning to develop a new class of biosensors that can process complex multimodal signals and enables new therapeutic and diagnostic approaches.

Visit their website here.

Embedded in a worldwide network of clinical and academic partners, Fraunhofer MEVIS develops real-world software solutions for image and data supported early detection, diagnosis, and therapy. To reach its goals, Fraunhofer MEVIS works closely with medical technology and pharmaceutical companies, providing solutions for the entire chain of development from applied research to certified medical products using novel data driven approaches like Deep Learning in Medical Imaging and developing adaptive algorithms for Computational Pathology.

Marburg

The AI in Biomedicine Lab (AIB) is a joint research facility of research groups of the Department of Mathematics and Computer Science and the Department of Medicine at the University of Marburg.
The AIB aims to bring the methods and procedures of artificial intelligence, machine learning, and data science into biomedicine to analyze biomedical data, gain new biomedical insights, and thus improve the care of patients.
The particular advantage of the AIB is the combination of expertise in the field of AI methods with the application in biomedicine and the networking of the departments and the connection to the Ph.D. program Data Science and the study program Data Science (Bachelor and Master).
Visit the website of the AIB.

Tübingen

Cyber Valley is Europe’s largest research consortium in the field of artificial intelligence (AI), with partners from science and industry. The founding academic partners were the Max Planck Institute for Intelligent Systems and the Universities of Stuttgart and Tübingen. As a result of the initiative, a thriving ecosystem has grown that promotes lively exchange between science and industry. This ecosystem has further strengthened southwestern Germany’s position as a global leader in the field of modern AI.

Visit their website at cyber-valley.de.

The Max Planck Institute for Intelligent Systems is a publicly funded research institute that has attracted world-class scientists from around the globe. Thanks to secure budgets, scientists at MPI-IS enjoy exceptional research conditions that give them complete freedom to focus on outstanding basic research. This freedom allows scientists to explore the scientific foundations of perception, action, and learning through interdisciplinary and collaborative research across scales and systems. In turn, this enables them to drive their research forward and lay the foundations for a successful scientific career.

Participants will gain insights into the institute’s research at the main campus in Tübingen. They will also have an opportunity to present their own work to MPI-IS researchers and the other participants.

Visit their website at is.mpg.de.

The University of Tübingen is one of eleven universities judged excellent under the German government’s Excellence Initiative. Tübingen is one of the world’s foremost locations for neuroscientific research.

The Tübingen AI Center is a joint project of the University of Tübingen and the Max Planck Institute for Intelligent Systems. It is one of the six Competence Centers for AI and Machine Learning funded by the Federal Ministry of Education and Research (BMBF). Its goal is to build robust learning systems that approach the robustness of natural intelligence as evident in biological systems, and to ensure that AI benefits the society.

Visit their website at tuebingen.ai.

The mission of the Cluster of Excellence – Machine Learning in Science is to enable machine learning algorithms to take a central role in all aspects of scientific discovery and to understand how such a transformation will impact the scientific approach as a whole.

Visit their website here.

Further hosts will be announced here shortly.
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The Postdoc-NeT-AI 9/2021 – AI in Medicine

The Virtual Networking Week | 13-17 September 2021

One-week travel stipends

What successful candidates can expect

Get a comprehensive overview of the German AI research landscape and career options:

Get in touch directly with leading researchers from your field to discuss opportunities for collaborations and employment:

Create long-term ties with other fellows and the German AI research community:

What we expect

Candidates should have:

The host institutions 9/2021

@ Helmholtz AI

AI in medicine in...

Berlin

Essen

Hamburg

Lübeck

Marburg

Tübingen

Program 9/2021

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