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Nachrichten, Termine, Experten
Nachrichten, Termine, Experten
Prof. Dr. Julia Tjus, Professor of Theoretical Physics at Ruhr University Bochum and Associated Principal Investigator at the Lamarr Institute for Machine Learning and Artificial Intelligence, has been appointed as an international member of the Royal Swedish Academy of Sciences. The lifetime membership is one of the highest scientific distinctions worldwide and recognises her internationally leading research at the interface of astroparticle physics and artificial intelligence.
The renowned Royal Swedish Academy of Sciences has named Prof. Dr. Julia Tjus. Julia Tjus is Professor of Theoretical Physics IV – Plasma Astroparticle Physics at Ruhr University Bochum and Associated Principal Investigator at the Lamarr Institute for Machine Learning and Artificial Intelligence. Election to the Royal Swedish Academy of Sciences is one of the highest scientific honors worldwide. Membership is awarded for life; new seats are only filled when existing seats become vacant. As an independent scientific academy, the Royal Swedish Academy of Sciences plays a central role in international scientific activities, for example through its joint responsibility for the Nobel Prizes in Physics and Chemistry. It recognizes scientific excellence as well as sustainable contributions to the international research community.
Scientific excellence at the interface of physics and AI
Julia Tjus is one of the world's leading scientists in the field of theoretical astroparticle and plasma physics. She has headed the Chair of Theoretical Physics IV at Ruhr University Bochum for many years and is also spokesperson for the Collaborative Research Center SFB 1491 “Cosmic Interacting Matters – From Source to Signal” (SFB 1491 Cosmic Interacting Matters).
As an Associated Principal Investigator at the Lamarr Institute, Julia Tjus contributes her expertise specifically at the interface between fundamental physics research and artificial intelligence. The focus is on simulation-based AI approaches that can be used to model complex astrophysical processes and analyze large, heterogeneous data sets from so-called multi-messenger astrophysics. This work contributes to linking physically based models with modern methods of machine learning.
We warmly congratulate Prof. Dr. Julia Tjus on this extraordinary award—a recognition that extends far beyond national borders and emphasizes the importance of excellent basic research in a networked scientific system.
Caroline Winter
Lamarr Institute for Machine Learning and Artificial Intelligence
caroline.winter@uni-bonn.de
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