Welcome to the temporary website of the Chair of AI Methodology (AIM)!

This website is under construction - as is the chair ;-)


To develop the next generation of AI methods, systems and tools, for the benefit of society and humanity.

Our research is dedicated to methodological and technological advances in human-centred AI, AI for Good and AI for All. This includes research across different areas of AI, including machine learning, automated reasoning and optimisation. An important focus of our work is on the area of automated AI (including automated machine learning).

As part of the international ADA Research Group, we collaborate closely with Leiden University (Netherlands) and the University of British Columbia (Canada).



Our research is aimed at creating the next generation of human-centred AI systems and at facilitating their broad use for the benefit of society and humanity ("AI for All and AI for Good").

In addition to the research on the foundations of AI, particularly on topics in machine learning, automated reasoning and optimisation, our work focuses on applications in the fields of medicine and health, in the protection of our environment and habitat, and in the support of artistic activities. Much of our research falls into the area of automated AI (including automated machine learning), which includes the automated construction, customisation, monitoring and analysis of AI algorithms and systems, with the goal of increasing performance and robustness while lowering the level of expertise required for using AI techniques effectively and responsibly.

For on overview of recent publications see the publication list of the ADA group.



Meet the people working here:

Prof. Dr. Holger HoosChair Holder, Alexander von Humboldt Professor

Holger H. Hoos holds an Alexander von Humboldt professorship in AI at RWTH Aachen University (Germany), as well as a professorship in machine learning at Universiteit Leiden (the Netherlands) and an adjunct professorship in computer science at the University of British Columbia (Canada). He is a Fellow of the Association of Computing Machinery (ACM), the Association for the Advancement of Artificial Intelligence (AAAI) and the European AI Association (EurAI), past president of the Canadian Association for Artificial Intelligence and one of initiators of CLAIRE, an initiative by the European AI community that seeks to strengthen European excellence in AI research and innovation (claire-ai.org). Find out more on Holger's personal website.

Mail: hh[at]aim[dot]rwth-aachen[dot]de
Phone: +49 241 802 21451

Dr. Jakob BossekAssistant professor (Akademischer Rat)

Jakob received his bachelor degree in Statistics and diploma in Computer Science from the TU Dortmund University (Germany) in 2013 and 2014, respectively. In 2018 he finished his doctorate studies in Information Systems at the University of Münster, Germany. He held PostDoc positions at the University of Münster, Germany and the University of Adelaide, Australia. He is now assistant professor (Akademischer Rat) at the Chair for AI Methodology (AIM) at the RWTH Aachen University. His broad research interests include practical and theoretical aspects of bio-inspired problem solving, in particular evolutionary algorithms for NP-hard combinatorial optimisation problems. Find out more on Jakob's personal website.

Mail: bossek[at]aim[dot]rwth-aachen[dot]de
Phone: +49 241 80 21453

Dipl.-Inform. Willi GeffersSystem Administration

Willi keeps our systems running.

Mail: sysman[at]aim[dot]rwth-aachen[dot]de
Phone: +49 241 80 21455

Andrea Gibbels, M.A.Administration

Andrea is doing the administrative stuff.

Mail: secret[at]aim[dot]rwth-aachen[dot]de
Phone: +49 241 80 21452



In summer term 2022 we offer a seminar on AutoAI.

Due to the fact that our Chair for AI Methodology (AIM) is still under construction our possibilities of supervising Bachelor and Master students are a little limited. We expect this situation to change in the second half of 2022. 

Stay tuned!



We are looking for

  • Ph.D. candidates
  • Post Docs
  • Network administration
  • Student assistants

We are also looking for excellent student assistants! The range of tasks extends from support in research to administrative tasks. If you are interested in a student assistant position please send your application letter, curriculum vitae and a recent transcript of records to secret[at]aim[dot]rwth-aachen[dot]de.

More to come soon!



Chair for AI Methodology
Theaterstraße 35-39
52062 Aachen

Mail: secret[at]aim[dot]rwth-aachen[dot]de
Phone: +49 241 80-21452