Interdisciplinary Research

Trustworthy Artificial Intelligence

The Research Center Trustworthy Data Science and Security addresses the trustworthiness of intelligent systems in safety-critical applications. A unique, human-centered research approach covers the entire interdisciplinary research of trustworthy data analytics, explainable machine learning, and privacy-aware algorithms.

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Our Research Focus

We aim at human-centered research of trustworthy artificial intelligence

We envision a unique interdisciplinary research approach that covers the entire spectrum of research challenges in all facets of trustworthy and privacy-aware technologies. Meaningful progress in these areas requires a close collaboration between a variety of disciplines. Hence, our research center builds upon the strengths of the University Alliance Ruhr in fields of Psychology & Social Sciences, Artificial Intelligence & Machine Learning, Data Science & Statistical Learning, and Cybersecurity & Privacy.

Psychology & Social Sciences

We empower humans to understand, control, and verify intelligent algorithms.

Artificial Intelligence & Machine Learning

We develop self-explainable, accountable, and verifiable machine learning algorithms.

Data Science & Statistical Learning

We infer uncertainty, causality, and representations hidden in complex data sets.

Cybersecurity & Privacy

We preserve privacy, security and trust in algorithms for safety-critical systems.

Our new research center complements these strengths with 12 additional professors and research groups within a unique interdisciplinary workspace that enables research beyond the individual disciplines. Our interdisciplinary research incubator allows for multiplication of graduate training on a bigger scale via a graduate school covering more than 30 professors working in the field. Extending the international study programs of the three universities, we will establish new interdisciplinary study areas that enable the early education of students in trustworthy data science and security. We develop trustworthy technologies in collaboration with local society and industrial sectors including industry- and society-partners in teaching and research.

Professorships

We hire 12 new professors on research areas of trustworthy data science and security.

Industry and Society

We develop trustworthy technology in tight collaboration with industry and society.

Graduate School

We invest in collaborative research projects and our interdisciplinary graduate education.

Study Programs

We establisch new interdisciplinary education schemes both on MSc and PhD level.

We are looking forward to develop interdisciplinary, long-term, and sustainable research topics with you as PhD student, PostDoc, Professor or Associated Partner within our research center on trustworthy artificial intelligence.

Our Research Vision

Statement by Scientific Director (Professor Emmanuel Müller)

Scientific Director (Professor Emmanuel Müller) “In the digital age, many decisions made by people in the spheres of science, industry, and society are supported by modern computer-based technologies. Sometimes, even though we’re not aware of them, we trust these decisions blindly. However, at the same time, there’s a lack of trust in digital technologies such as artificial intelligence in many areas of society.

The vision of the interdisciplinary Research Center Trustworthy Data Science and Security is to close this trust gap through novel scientific approaches. We develop trustworthy methods that reconcile technological reliability and human trust according to our mission statement: Trustworthy by Design.

We pursue a unique interdisciplinary research approach that covers the full spectrum of scientific challenges of trustworthy and privacy-conscious technologies. It is only by coupling a wide range of technological and non-technological disciplines that we can deliver the desired human-centric focus. Our research center rages from mathematics, statistics and computer science to psychology, humanities and social sciences. With our research on trustworthy machine learning we help to increase society’s acceptance of trustworthy technologies. To this end, we are leveraging the strengths of our three universities in artificial intelligence, cybersecurity, statistics and psychology.”

Our Human-Centered Research Approach

We aim at trustworthy technology by design in the age of a digital society

The level of digitalization is constantly increasing in many areas of our lives. Accompanying this are major scientific challenges for artificial intelligence, machine learning and cybersecurity: establishing trust and formally guaranteeing it. The Research Center Trustworthy Data Science and Security addresses this challenge at the crossroads between the development of digital technology and societal acceptance. Our goal is to develop trustworthy technology and to enable humans to understand this technology.

Interdisciplinary ResearchThe interdisciplinary research focuses on long-term research questions that we can only in an interdisciplinary manner: How can people gain a better understanding of intelligent systems? How can we implement provable trust and security guarantees into machine learning? How shall we balance privacy and functionality?

To answer these and other open research questions we engage in joint research efforts between social sciences, data sciences, and cybersecurity. Thereby, the human as a decision maker in industry, academia and politics is at the heart of our ongoing and future research. These decision-makers must be enabled to gain trust in intelligent systems, and to understand and regulate them.

Graduate School

The goal of the Research Center Trustworthy Data Science and Security is clear: achieve more together.

We offer a unique opportunity to undertake excellent science on important, interdisciplinary and cutting-edge thematic areas in a modern, agile, collaborative environment. In a nutshell, we offer top-notch support from supervisors, early possibilities to conduct independent research, and connections to a strong interdisciplinary and international network. Rather than rigid, fixed study programs and course work, we advise students individually with the flexibility and opportunity to develop their own research directions, in an inspiring environment. The unique nature of the Research Center Graduate school builds on:

  • Experienced supervisors with profound expertise and established networks in a broad range of cutting-edge topics
  • Regular international visitors, bringing new and exciting research perspectives, and exceptional opportunities for collaboration
  • The possibility to work in an interdisciplinary environment with well-connected supervisors from different disciplines
  • Enabling international research stays
  • Enabling networking with students though an international internship program
  • By establishing PhD tandems and interdisciplinary working groups we enable reciprocal peer support
  • Fostering early independence by encouraging collaborative and creative research led by groups of PhDs (including allocated funding for e.g. conducting studies and traveling to conferences to present this research)
  • Being part of a community that organizes events, workshops and outreach activities on hot topics and important societal challenges, with opportunities for participation
  • Bringing PhD students together with other established structures and programmes at the three UA Ruhr universities (TU Dortmund, Ruhr University Bochum, University Duisburg-Essen, see, e.g., here)
  • an excellent and diverse team which is rendered even more diverse (and excellent ;-) by you
We are looking forward to your application!

Call for Open PhD Positions
Apply Here

Research Explorer Ruhr

Explore your Postdoc Opportunities in the Ruhr Area

Research Explorer Ruhr Research Explorer Ruhr (RER) is a program for international early postdoctoral researchers (to-be) interested in exploring the research landscape of the University Alliance Ruhr.

Benefit from workshops on postdoc funding schemes and research career options in Germany! Networking events and excursions will help you become acquainted with the thriving Ruhr Area as a potential place to work and live.

When? 16 June 2024 (arrival) to 30 June 2024 (departure)

Who? Doctoral researchers in the final stage of their PhD & early postdoctoral researchers (<1 year after receiving their doctoral degree)

Call for Research Internships
More information and application process...

Research Alliance Ruhr

Best Education & Excellent Research

Our research center is part of the Research Alliance Ruhr aiming at "Best Education & Excellent Research" in collaboration with Ruhr University Bochum (RUB), TU Dortmund University (TUDO), and the University of Duisburg-Essen (UDE). Together we aim at the Ruhr area as one scientific region of excellence that unlocks a new level of interdisciplinary cooperation. Seven ERC-funded projects, one cluster of excellence, two collaborative research centers, five interdisciplinary graduate schools, and one federal competence center in machine learning are a testament to the strength of research in this area:

Beyond our excellence in research and education the Research Alliance Ruhr is hosted in a well-connected urban environment with best international flight and train infrastructure. With our families we enjoy the nature of the river Ruhr that named this picturesque area and its surrounding villages. With major support also for transit yourself and your family our joint Dual Career Network assists in job transition. Similarly, the three universities support our young scientist via the Research Academy Ruhr, the local research institutes (three Max-Planck-, two Fraunhofer- and two Leibniz-Institutes), as well as entrepreneurial and transfer institutes (e.g. TechnologieZentrumDortmund).

Work @ UA Ruhr Research Centers
Enjoy @ UA Ruhr Environment
Study @ UA Ruhr Universities

Outreach

We apply and evaluate our research in a variety of safety critical domains

Sustainable Energy
Digital Health
Efficient Logistics
Autonomous Mobility
Safe Production
Reliable Engineering

Partners

We collaborate with partner institutions in both applied and fundamental research

Center for Advanced Internet Studies (CAIS), Bochum
Leibniz Research Centre for Working Environment and Human Factors (IfADo), Dortmund
Federal Institute for Occupational Safety and Health (BAuA), Dortmund
Max Planck Institute for Security and Privacy (MPI-SP), Bochum
Fraunhofer Institute for Material Flow and Logistics (IML), Dortmund
Fraunhofer Institute for Software and Systems Engineering (ISST), Dortmund

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Open Positions

We expand our research on all levels, please contact us

Starter
PhD
Invent new trustworthy methods
Collaborate with interdisciplinary partners
Publish your concepts and algorithms
Present your research at international conferences
Open Positions
Advance
PostDoc
Supervise inspiring BSc, MSc, PhD students
Develop new trustworthy and intelligent systems
Research in interdisciplinary projects
Outreach to industrial and academic partners
Open Positions
Expert
Professor
Research at top international level @UARuhr
Teach in international study programs @UARuhr
Network of collaboration partners @UARuhr and beyond
Collaborative research projects @UARuhr and beyond
Open Positions
Associate
Partner
Add applications of trustworthy systems
Contribute to next generation of trustworthy research and development
Profit from collaboration network and inspiring students
Profit from next generation intelligent systems
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Our interdisciplinary team

We live interdisciplinary research in trustworthy science

Prof. Dr. Dennis Dobler, TU Dortmund University
Prof. Dr. Ivan Habernal, Ruhr-Universität Bochum
Prof. Dr. Nadja Klein, TU Dortmund University
Prof. Dr. Nils Köbis, University of Duisburg-Essen
Prof. Dr. Nicole Krämer, University of Duisburg-Essen
Prof. Dr. Emmanuel Müller, TU Dortmund University
Prof. Dr. Daniel Neider, TU Dortmund University
Prof. Dr. Christof Paar, MPI-SP and Ruhr-Universität Bochum
Prof. Dr. Markus Pauly, TU Dortmund University
Prof. Dr. Jatinder Singh, University of Duisburg-Essen
Prof. Dr. Muhammad Bilal Zafar, Ruhr-Universität Bochum

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