Complex processes involving cascades of scales are ubiquitous in current natural science research. Such processes feature more than two characteristic scales, their smallest and largest scales are widely separated, and much of their scale range participates in the process interactions. Also, they are often too complex for experimental studies, but with the steady increase of compute power there is hope that they can be understood through computational simulations. Such simulations remain very challenging, however, as their wide range of scales is associated with very large numbers of degrees of freedom and in many cases this will prohibit brute-force all-detail computational modeling far into the future...
The Einstein Visiting Fellowship and Einstein Professorship aim to enhance the international profile of universities and research institutions in Berlin by involving leading scientists and scholars from abroad in long-term academic research collaborations. Our Einstein Visiting Fellows are:
MODAL is a cluster of Mathematical Optimization and Data Analysis Laboratories
On the campus of Freie Universität Berlin. It brings together partners from research on one hand - Freie Universität Berlin, Konrad-Zuse-Zentrum für Informationstechnik Berlin (ZIB),the Berlin Centre for computer science Konrad-Zuse-Zentrum – and economy and industry (free enterprise) on the other hand. Its fields of research and application are data driven mathematical modeling, simulation and optimization of complex processes in logistics, Clinical Research and Health Care. MODAL’s goal is also the optimization of networks like those in public transport, gas supply and medical data. Mathematics is a key factor in making these developments successful in the future. MODAL works on application-oriented, interdisciplinary and collaborative research solutions.
Matheon is a joint research center of the three Berlin universities (Freie Universität Berlin, Humboldt-Universität zu Berlin, Technische Universität Berlin) and the mathematical research institutes WIAS (Weierstraß-Institut für Angewandte Analysis und Stochastik) and ZIB (Zuse Institut Berlin).
Its scientists develop new methods in modeling, simulation, and optimization for real world processes in all key technology areas. The research covers projects in the areas Clinical Research and Health Care, Metropolitan Infrastructure, Optical Technologies, Sustainable Energies, as well as Geometric Design and Visualization. New methodologies are developed in interdisciplinary cooperation with project partners from industry, economy and science.
Matheon is a motor for innovation – both, in industry and in various fields of science, as well as in mathematics itself. For that, the promotion and training of young people in academia and in schools as well as a vivid exchange with the public are also of great importance.
The Einstein Center for Mathematics Berlin (ECMath) was founded in 2014. It is supported by the Einstein Foundation Berlin, by the three universities Freie Universität Berlin (FUB), Humboldt-Universität zu Berlin (HUB), and Technische Universität Berlin (TUB) and by the two research institutes Weierstraß Institute for Applied Analysis and Stochastic (WIAS) and Zuse Institute Berlin (ZIB).
The main goals of ECMath are to support mathematical research in selected innovation areas and to establish and strengthen a network structure of excellent joint initiatives in Berlin.
Through its versatile activities, ECMath aims at providing support for application-oriented basic research within Matheon, thus, targeting mathematics for innovation in key applications. By the conception of "Mathematics as a Whole", it fosters a comprehensive approach to mathematics and its applications through the training of young scientists and early-career students. Within this activity, ECMath provides attractive stipends for extraordinarily well-qualified BMS students, and it furthers and supports school activities of the DZLM. Another focus of ECMath is knowledge transfer from science to industry...
DZLM – Deutsches Zentrum für Lehrerbildung Mathematik
Initiated in 2011, the German Centre for Mathematics Teacher Education (DZLM) is Germany’s first nationwide centre providing teacher training in mathematics. The centre was initiated and is funded by the Deutsche Telekom Foundation (www.telekom-stiftung.de).
The DZLM focuses on developing long-lasting CPD-programmes for multipliers – research-based and practically relevant. These multipliers are teachers themselves (from pre-, primary and secondary schools) who in turn offer professional development courses, advice and support to other teachers, e.g. by supervising professional learning communities. The Centre also provides professional development courses and materials that target specific types of teachers and their educators, e.g. educators who teach mathematics out-of-field, i.e. outside their speciality area, as well as pre-school teachers. All courses are continuously improved based on empirical evidence and are disseminated at a large scale...
The Berlin Mathematical School (BMS) is a joint graduate school of the mathematics departments of the three major Berlin universities, TU Berlin, FU Berlin, and HU Berlin.
BMS offers a uniform setting for graduate studies (from bachelor to PhD) in mathematics in Berlin, a coordinated, highly diverse course program in English (Phase I, from bachelor to qualifying exams in two years, German language skills are not necessary), access to all math research groups in Berlin for a PhD (Phase II), in particular to the DFG Research Training Groups and other ongoing research projects, intensive mentoring during the whole duration of studies, and support in non mathematical issues ranging from housing to visas and from child care to language courses.
BMS invites excellent mathematics students from Germany, Europe and all over the world to join BMS - and to make good use of the ample opportunities offered by the rich and diverse mathematics teaching and research environment in Berlin.
The German Research Foundation (DFG) has approved a new Research Training Group to be coordinated at Freie Universität Berlin. Technische Universität Berlin and Humboldt-Universität zu Berlin are involved as partners in the training group, which will initially be funded for four and a half years.
The topic of complexity comes in many forms in mathematics and computer science. So far the various forms have largely been researched independently of each other. In mathematics the combinatory aspect of complexity focuses on the mere number of mathematical structures. There is also descriptive complexity, based on the type of logic needed to visually represent a theorem in a clear manner. In addition, there is “classical” algorithmic complexity, which pertains to the duration and memory requirements of algorithms. The members of the Research Training Group plan to deal with the cross-connections between different approaches to gain insights that are relevant for both mathematics and theoretical computer science.
In the new Research Training Group, different perspectives or facets of complexity are to be integrated into a common education and research program. The main goal of the new group will be to train a new generation of highly qualified researchers. "We would like to offer the graduate students a broad and multi-faceted view of complexity in an exciting research environment," stressed Günter Rote, computer science professor Günter Rote of Freie Universität Berlin and spokesperson. The Research Training Group was set up to fit into an international context with regard to the expected applicants, collaborating with international research groups, visiting researchers, and courses taught in English.
The Einstein Center Digital Future is an inter-university nucleus for research on the digitalization of our society. Its aim is to foster innovative, cutting-edge interdisciplinary research, and to provide outstanding training for talented young scholars. The Einstein Center Digital Future is a public-private partnership, initiating around 50 new professorships, and bringing together universities, non-university research institutes, and industrial enterprises, as well as regional and federal ministries. The scale of this alliance between public entities, sponsors and supporters is unique in Berlin’s history as a center of academic endeavor.
Areas of reaearch are e.g. smart housing, smart cities, smart mobility, digital education, bioinformatics, personalized medicine, digital diagnostics, new methods in genome data analysis and biomedical imaging as well as semantic data intelligence, identity management, the physical foundations of IT security, the Internet of Things and wearable technologies. The topics of the latest generation of water and sewage systems, digitalization and the workplace as well as multicultural aspects of digitalization also play a role.
Eröffnung Einsteinzentrum Digital Future