Graduate schools, research training groups and doctoral programs at Bremen University offer an interdisciplinary research environment for doctoral reseachers from Germany and abroad. Their early career researchers benefit from intensive expert counseling, customized training, and innovative forms of supervision.
For the promotion of early career reseachers the University also cooperates with external research institutions, especially within the frame of the International Max Planck Research School for Marine Microbiology MarMic and the Helmholtz Graduate School for Polar and Marine Research POLMAR.
The Bremen International Graduate School for Marine Sciences has been supported by the Excellence Initiative since 2006. The structured programme serves as a central platform for interdisciplinary training for doctoral students in marine sciences at the University of Bremen and its partner institutions.
The interdisciplinary Bremen International Graduate School of Social Sciences rests on the core disciplines of Political Science, Sociology and Psychology. BIGSSS was established in 2008 in collaboration with Jacobs University. It provides doctoral studies of excellence in the Social Sciences.
DFG Research Training Groups
ArcTrain - Processes and impacts of climate change in the North Atlantic Ocean and the Canadian Arctic
International Research Training Group
The International Research Training Group ArcTrain "Processes and impacts of climate change in the North Atlantic Ocean and the Canadian Arctic" provides a structured interdisciplinary environment for the education of PhD students to tackle the challenge of accelerated environmental change in the Arctic realm. The group combines the strength in marine geosciences and environmental physics in Bremen with complementary skills of a consortium of eight Canadian partner universities.
The Research Training Group ''Models of Gravity'' deals with questions related to gravity. We attempt to obtain a better understanding of Einstein's General Relativity and of generalised theories of gravity.
Such generalisations arise in the low energy limit of candidate theories of quantum gravity like e.g. string theory. These investigations also have practical applications like, for instance, the precise calculations of stellar and satellite orbits or the ticking rates of clocks on satellites orbiting the Earth which is the basis of the daily used GPS.
Within the framework of this Research Training Group there will be an intensive interdisciplinary collaboration between physicists, mathematicians as well as space scientists. This collaborative research initiative comprises the universities Bremen and Oldenburg who are the leading partners and the Jacobs University Bremen and the Universities Bielefeld, Hannover and Copenhagen.
In this collaborative Research Training Group jointly run by Jacobs University Bremen and the University of Bremen doctoral researchers study the interactions between individuals and their social environment. Whether culture, gender, social class or family: all human beings are exposed to systematic influences that shape them and their actions. These in turn have an impact on the social relationships and conditions in which everyone moves, and will in the long-term lead to social changes. These dynamic interactions and their consequences are analyzed in the dissertation projects of this RTG.
The exceptional research idea of MIMENIMA is the conditioning of novel porous ceramic structures and their surfaces for applications in important emerging fields of energy, environmental, chemical processing, bio- and space technology. An interdisciplinary team of materials scientists, physicists, chemists, biotechnological, mechanical or chemical engineers will work together on this challenging topic. In addition to this multidisciplinary research program MIMENIMA offers an educational program with tailored scientific lectures, seminars, lab courses, workshops, summer schools, research visits at international cooperation partners and a mentoring program for the career development of women and an ongoing coaching of the scientific work.
The brain is the most complex organ of the human body, receiving information from the environment and incorporating these into the planning and execution of the appropriate actions. However, the principles of communication between different areas of the brain to combine sensory input with motor control and executive functions remain largely unknown. The EU-funded In2PrimateBrains project aims to address this knowledge gap by training the next generation of researchers using cutting-edge methodologies in academic, clinical and industrial sectors to support future research in this field. Trainees will study the brain of non-human primates - the closest model to the human brain - generating important insight into local and long-range dynamics of communication down to the single neuron.
The project entails well-defined tasks to ensure success in our research and training objectives. We offer tailored research training from world-leading European researchers from the academic, clinical and industrial sectors. This will be accompanied by a comprehensive programme of network-wide training events including thematic workshops in essential research-related skills and soft-skill training sessions to ensure successful careers in public or private sectors. In a highly competitive international environment, In2PrimateBrains will ensure that Europe remains at the forefront of primate brain research in health and disease with scientists trained by the highest scientific, methodological and ethical standards.
BIGSSS-departs is an international PhD program in the social sciences that offers to its two cohorts of early-stage researchers excellent doctoral studies in a PhD program that combines close supervision of dissertation work with a demand-tailored 42-month structured PhD curriculum. The program supports early scientific independence, fosters the development of intellectual responsibility, and prepares the PhD candidates for careers inside and outside academia. Another asset of the program is its focus on international mobility. PhD fellows commit themselves to a research stay at one of the BIGSSS-departs international networks’ renowned academic or inter-sectoral partner institutions. In return, BIGSSS-departs offers early-stage researchers from its partners the opportunity to conduct a visiting research stay at BIGSSS.
The over-arching aim of the European Training Network SLATE is two-fold:
- to understand key factors triggering submarine landslides, the subsequent motion and evolution of failed material, as well as ensuing geohazards, e.g. tsunamis; and
- to integrate an innovative broad range of scientific disciplines and private sector needs into a novel training-through-research and co-supervision of 15 ESRs.
SLATE focusses on investigating submarine landslides and associated geohazards as important natural risks that threaten offshore infrastructures and coastal regions in Europe. Submarine landslides can be far larger than any terrestrial landslide and can produce tsunami whose far reaching effects can rival those produced by earthquake-tsunamis, and which threaten increasingly populated European coastlines. Even small landslides can damage very expensive and critically important seafloor installations. For example, pipelines used for oil and gas recovery, or telecommunication cables that now carry over 95% of global data. The largest and most dangerous submarine landslides occur on low gradients of < 2° that are almost always stable on land. However, fundamental differences between slope failure on land and the seafloor are as yet poorly understood and remain a grand challenge.
DISTINCT - Dementia: Intersectorial Strategy for Training and Innovation Network for Current Technology
DISTINCT is a project within the European-funded Marie Skłodowska-Curie Innovative Training Network (ITN). The project is coordinated by the University of Nottingham and 7 countries are involved: UK, Germany, Belgium, The Netherlands, Spain, Czech Rebublic and Ireland. The University of Bremen-based project is: ‘Smart home technologies supporting daily life for people with dementia and their informal caregivers to improve quality of life and social participation’ and it involves an international full time PhD position at the University of Bremen. The DISTINCT network comprises ten world-leading research organisations in Europe plus IDES, an enterprise for technology, research and care, as well as 9 partner organisations including Alzheimer Europe, Alzheimer’s Disease International, the World Occupational Therapists Federation, two other major universities and three other enterprises. DISTINCT works with INTERDEM (Early detection and timely INTERvention in DEMentia), a large international collaboration enabling training and development opportunities for all grades of researcher from PhD students to senior academics to develop capacity for future research in dementia care.
The overarching research goal of the DISTINCT project is to improve the usability of technology in dementia care by evaluating its effectiveness and implementation issues in relation to social health. A total of 15 Early Stage Researchers (ESRs) will be hosted across the network and will work in research, a network-wide training program, public engagement activities and collaboration with network partners through short-term secondments in European industrial/academic partner laboratories.
Young researchers work in the doctorate program ROMSOC in an international consortium of twelve academic and eleven industrial partners from seven countries.
Product development today is increasingly based on simulation and optimization of virtual products and processes. Mathematical models serve as digital twins of the real products and processes and are the basis for optimization and control of design and functionality. The models have to meet very different requirements: Deeply refined mathematical models are required to understand and simulate the true physical processes, while less refined models are the prerequisites to handle the complexity of control and optimization. The currently most favoured way in industrial applications to achieve such a model of hierarchy is to use a sufficiently fine parameterized model and then apply model order reduction techniques to tune this fine level to the accuracy, complexity and computational speed needed in simulation and parameter optimization.
The WG Industrial Mathematics of University of Bremen is head of the subproject „Data Driven Model Adaptations of Coil Sensitivities in MR Systems“ and collaborates with the company SagivTech Ltd. based in Israel. The main goal is the development of data-driven approaches based on neural networks and deep learning in the field of magnetic particle imaging (MPI). MPI is an evolving technology aiming at non-radiative, non-invasive imaging of functional parameters such as blood flow or targeted metabolic processes.
Can we rely on AI-controlled underwater robots?
What happens in the brain of AI-based robots operating under water? Researchers will investigate this question in a new European Horizon 2020 research project. Experts in AI and reliability analysis will cooperate with companies developing underwater robots.
Robots can operate in places where human presence can be both costly and dangerous. They create fantastic opportunities to put to use the enormous areas under the sea surface, which covers more than 70% of the earth’s surface, for example to produce food at the bottom of the ocean, to inspect and maintain vessels and platforms and to fight offshore oil spills or pollution. However, how can we know that the robots will not harm the environment when we let them loose?
Robots under water have to tackle many challenges. Not only do underwater currents and unexpected vegetation and marine life create difficulties for the robots. Reduced vision and very restricted possibilities to communicate are also technological barriers. Therefore, robots will have to manage on their own in the deep, without human support. Modern technology based on machine learning and AI is now adopted by the robot industry to create robots that can operate autonomously and tackle the challenges they meet on their way. If we are going to use robots for environmentally safe activities under water, we must be able to rely on them. The robots must be able to operate on their own, handle their missions safely and efficiently, make the right decisions and get back to the base to charge before they run out of power.
“A major challenge for European industry today is the reliability of AI-based systems, but we lack an education on this topic in Europe today. The REMARO project will train 15 experts on reliable AI through an innovative training program at the doctoral level, in which universities and industry from European countries with significant marine sectors will collaborate closely”, says Andrzej Wasowski, Professor at the IT-University in Copenhagen and Project coordinator of the REMARO project.
The development of reliable AI-systems for robots is key to new activities under water. This is the challenge addressed by the REMARO project. In REMARO, 15 doctoral students at different universities in Europe will collaborate to design brains for robots that will be self-learning and autonomous, and at the same time operate safely both for themselves and for the environment.
Bremen is involved in three REMARO projects: The Institute for Artificial Intelligence at the University of Bremen, the DFKI, and the ROSEN Group, Bremen, are research partners in the project.
Other doctoral programs with external funding
The graduate school Empowering Digital Media is funded by the Klaus Tschira Foundation. The goal of our graduate school is to research the role of digital media in the digital revolution and to design, develop and evaluate novel user interfaces and artifacts. The program started in 2017.
At the International Graduate School for Dynamics in Logistics, doctoral students from the fields of Mathematics/Computer Science, Electrical Engineering and Economics explore issues surrounding production and transport logistics which are becoming increasingly complex in the wake of globalization. This graduate school is supported by the University of Bremen, the Kieserling Foundation, the German Academic Exchange Service, and the enterprise sector.
Funded by the Institutional Strategy within the Excellence Initiative launched by the Federal Government and the Federal States
This joint graduate program of the German Research Center for Artificial Intelligence (DFKI Bremen), the German Aerospace Center (DLR Bremen) and the University of Bremen adresses the research field "methods and tools for circuit and system design". In particular, systems built of integrated circuits and close interaction with software are targeted.
Doctoral Programs Funded by the University of Bremen
The program combines teacher training (Referendariat) with a doctoral thesis in didactics. In doing so, the close contact with school practice ensures that today’s relevant questions of teaching development are being researched and that the results are reflected in everyday school life. The “Dual Promotion” is carried out in close collaboration with the University, the LIS (teaching authorities) and the schools and concludes with the second state examination and a PhD in didactics of one of the two school subjects.