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What is a structured doctoral program?
A structured doctoral program is characterized by a thematically focused research program and a complementary study program. As a rule, at least five university professors are involved in such a doctoral program. Ten to fifteen doctoral candidates each form a cohort and go through the doctoral phase together. The accompanying study program provides them with technical and methodological knowledge and prepares them for a career within and outside academia.
The EASE Integrated Research Training Group (IRTG) provides high-quality training to doctoral candidates within the collaborative research centre EASE (Everyday Activity Science & Engineering) for them to obtain key skills and expert knowledge. The IRTG offers measures and activities to ensure and safeguard that doctoral candidates receive the best possible support in the start-up phase of their career, professionally and personally. Its qualification program includes topic-based seminars and workshops as well as an annual Fall School.
Empowering Digital Media (EDM) is a doctoral program funded by the Klaus Tschira Foundation. The aim of the program is to examine the role of digital media in the digital revolution. Moreover, EDM intends to create, implement and evaluate methods and artifacts which have the potential to support people in a sustainable way and have a positive impact on society as a whole. The program started in 2017.
The graduate school KD2School (RTG 2739) deals with the design of adaptive systems for economic decisions. It is funded by the DFG and is in the first phase (2021-2025). The graduates are spread over three locations: Karlsruhe (KIT, spokesperson Prof. Christof Weinhardt), Gießen (Uni Gießen) and Bremen (Uni Bremen, co-spokesperson Tanja Schultz) and network with each other through the LabLinking concept. The methods and implementations of this concept are tested, lived and evaluated within the framework of the KD2School.
At the “AI Center for Health Care”, doctoral candidates from the U Bremen Research Alliance (UBRA) member institutions collaborate on nine interdisciplinary projects. Recognizing the growing importance of AI in health research, the Center establishes itself as a pivotal platform for in-depth scientific engagement and collaboration. Bolstered by the UBRA’s flagship initiative on “Artificial Intelligence”, the Center places a strong emphasis on enhancing the expertise of its doctoral students. Its primary aim is to leverage the synergies among its member institutions, striving to deliver lasting impact in the research field. This endeavor is funded by the Federal State of Bremen.
The doctoral program of the Center for Media, Communication and Information Research (ZeMKI) deals with the development of media and communication. In deeply mediatized societies, social fields including politics, education, religion, popular culture and art are transforming. Not only changing digital infrastructures, but also innovative practices of media use and datafication play a role. Since phenomena in these thematic fields are multi-layered, the doctoral program as a whole is based on a broad interdisciplinary approach in order to strengthen the respective disciplinary doctorates.
The acronym CAUSE stands for "Concepts and Algorithms for – and Usage of – Self-Explaining Digitally Controlled Systems." Digitally controlled systems are omnipresent in our everyday lives, from transportation to healthcare. CAUSE aims to make digitally controlled systems self-explanatory for the benefit of developers, operators, interoperability, and other systems. Thematically, CAUSE covers all levels of digital systems, from systems of systems to software stacks to digital hardware. The doctoral students in CAUSE work closely together to investigate cross-level aspects of self-explanation, using a virtual wind farm as a demonstrator.
The vision of the HEARAZ Research Training Group (GRK 2969) is to provide comprehensive interdisciplinary and transdisciplinary training for scientists in the efficient development of a new generation of ear-based networked technical assistance systems (hearables) and their integration into everyday life and healthcare practice. This vision is being realized conceptually and technologically through the networking of hearing aids with sensors and external devices. The Research Training Group is funded by the DFG and is a collaboration between the University of Oldenburg (spokesperson Prof. Andreas Hein) and the University of Bremen (co-spokesperson Prof. Tanja Schultz).
CAVECORE (Continuous, Automated Validation, and Evaluation of Cognitive Robots in Open-Ended Environments) is a Marie Skłodowska-Curie Doctoral Network that trains the next generation of researchers to advance cognitive robotics—robots that can interact, learn, and adapt to open-ended real-world environments. The network addresses one of the central challenges in AI-enabled robotics: evaluating and validating the quality, safety, and reliability of such robots in a systematic and trustworthy manner.
