Details & Application

Twice a year we select a group of outstanding young international researchers to visit the German hotspots in artificial intelligence. During the visits, our fellows get a general overview of the German AI research landscape and learn about the current funding and career opportunities in specific research areas in German academia and industry. Our main goal is to connect you to the German research community to set the base for new collaborations, extend your network, and to initiate concrete career opportunities.

The Networking Tour in Artificial Intelligence 4/2021

During the upcoming virtual AInet 4/2021 from 26 to 30 April, we will visit AI research hotspots in Germany with a focus on data science and artificial Intelligence. The participating institutions will cover a broad field of research and give you an overview of the manifold possibilities the German AI research landscape offers young researchers. Our host institutions, like the Berlin Institute for the Foundations of Learning and Data, the Competence Center for Scalable Data Analytics and Artificial Intelligence or the Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, are covering various research areas from cognitive perception, ML for data management, responsible AI and semantic retrieval. As participant, you will not only get to know their work through virtual visits but connect directly with our hosts and share your work through 1-to-1 meetings. We will also support individual visits to German research institutions as soon as the travel restrictions allow for it.

You will receive first-hand information by meeting top scientists during virtual visits at:
- universities;
- research institutes;
- private companies.
You will obtain insights into top-notch research projects and opportunities for funding, employment, and collaboration through individual talks with selected scientists:

for details, check the detailed schedule for the next () and reports of earlier tours ().

All applicants will be invited to introductory information sessions on the German research system, funding opportunities, and the host-institutions of the forthcoming tour.

Furthermore, it is planned to provide scholars and alumni with frequently updated information on funding instruments, job openings, and new developments in the German AI research landscape.
You should have:

• a very strong scientific track record with a focus on artificial intelligence and machine learning (preferably connected to the research areas of the host institutions);

• obtained a PhD/doctorate before the tour but no longer than 5 years ago;

• candidates for a PhD/doctorate may also apply if they expect to finalize their work within one year after application, but high standards of quality will be applied in the selection.
We provide:

• participation in a virtual tour program and arrangement of oneon-one meetings;

• participation in various information sessions and other activities before the virtual tour and as follow-ups;

• financial and organizational support of a tailored individual onsite-visit to relevant institutions in Germany.

The Berlin Institute for the Foundations of Learning and Data (BIFOLD) was founded in January 2020 a German AI center of excellence. The center unites a multitude of prestigious institutions in and around the German capital. Their research centers around machine learning, big data and applications in the fields of medicine, security and humanities.
Bifold is home to some of the most influential and outstanding AI researchers in Germany and worldwide.

Visit the website here.

ScaDS.AI (Center for Scalable Analytics and Artificial Intelligence) Dresden/Leipzig extends the national competence center for Big Data, ScaDS, established in 2014. Our research bridges the gap between the efficient use of mass data and advanced AI. We address new methods for machine learning, knowledge management and privacy preservation. Furthermore, we develop service-oriented solutions and cooperate with a wide variety of application partners from academia and industry. ScaDS.AI Dresden/Leipzig is not only working on exciting AI and data science research topics, but also fosters a fast transfer of its research results into scientific and business applications. Our service center is a key enabler for new collaborations and successful transfer activities. Partners are Technische Universität Dresden, Universität Leipzig, Max Planck Institute for Molecular Cell Biology and Genetics, Leibniz Institute for Ecological Urban and Regional Development, Helmholtz Center for Environmental Research and Helmholtz-Zentrum Dresden - Rossendorf e. V.

Visit the website here.

The Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE) provides an interdisciplinary environment for educating the next generation of data scientists in close contact to domain-specific knowledge and research.
It is located in the Aachen-Bonn-Cologne-Düsseldorf area with the partners Forschungszentrum Jülich, RWTH Aachen University, Max-Planck-Institut für Eisenforschung, German Aerospace Center, and the University of Cologne. As part of the JARA Center for Simulation and Data Science (JARA-CSD), it enables and ensures easy access to computer- and data-infrastructures and user support.
Postdocs will benefit from this interdisciplinary research field and an outstanding scientific and technical infrastructure.

Visit the website here.

The Machine Learning Group at Leuphana University LÜneburg headed by Ulf Brefeld has a strong focus on structured and spatiotemporal problems. We mainly contribute to basic research and collaborate with selected partners in academia and industry in ongoing projects, such as the coordination of soccer players (multi-agent RL, imitation learning, tracking data), adaptive learning environments (adaptive tutor systems, computer-based adaptive testing, personalized item selection), analyzing mouse movements (user identification, one-class problems), or AI-based intrusion detection (critical infrastructure, outlier/anomaly detection). We offer machine learning courses in the Master Management & Data Science Program.

Visit the website here.

OFFIS is a 1991-founded, internationally active Research and Development Institute for information technology based in Oldenburg, Lower-Saxony. In an average of 70 ongoing projects OFFIS, with its 300 employees, carries out research and prototypical development work on the highest international level in the areas of energy, health, manufacturing and transportation. OFFIS cooperates with more than 700 business and scientific partners worldwide.

Visit the website here.

The Data and Web Science Group at the University of Mannheim conducts research on methods for managing, integrating and mining large amounts of heterogeneous information within enterprise and open Web contexts. They are involved in several national and international projects and cooperate with partners from industry, research institutes and other universities. Beside fundamental research, they also focus on applied research and technology transfer and closely cooperate with partners from industry. The group consists of 8 professors, some of whom are among the most influential AI researchers in Germany.

Visit the website here.

The Data Mining Group of the Institute of Computer Science at Johannes Gutenberg University Mainz focuses on mining and machine learning from data with complex structure (e.g., sequences, strings, text, time series, trees, graphs, data in logical formalisms), scaling up algorithms to massive datasets and data streams, and machine learning under real-world constraints such as privacy, confidentiality, fairness, explainability, and security. On the application side, the focus is on computational sustainability, "social good topics", and the life sciences. The head of the group, Prof. Stefan Kramer, is Honorary Professor at the University of Waikato in Hamilton (New Zealand), spokesperson of the Machine Learning Initiative of the Rhine-Main Universities (DeCoDeML), member of various AI and ML advisory boards in Germany, and this year (2021) program chair of the European Conference on Machine Learning and Data Mining (ECML-PKDD).

Visit the website here.

The Center for Artificial Intelligence and Data Science (CAIDAS) at the University of Würzburg is home to a variety of research groups at the intersections of data science, theoretical and applied machine learning, and human-centered AI. Further, it focuses on the application of AI and data science in various scientific fields.

As the official data science node in Bavaria’s AI network introduced by the high-tech agenda, CAIDAS is constantly expanding and creating new research groups in a variety of research fields and is collaborating within the Bavarian’s network but also with researchers all over the world.

Visit the website here.

Research groups of the Department of Computer Science and Automation, TU Ilmenau focus their research around data-intensive methods and technology ranging from cognitive systems and machine learning over data analytics and management to applying AI methods in engineering applications.
The groups attracted funding for a variety of high-profile research project by the Federal Ministry of Education and Research, the German Research Foundation and industry in various fields as intelligent data analysis and applications of AI technology.

Visit the website here.
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The Networking Tour in Artificial Intelligence 4/2021

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