Ast. Prof. Dr. rer. nat. Magnus Bender M.Sc.

• Assistant Professor
• Center for Contemporary Cultures of Text (TEXT) Department of Management
• Aarhus University
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Curriculum Vitae

• Since August 2025 – Assistant Professor, Department of Management, Aarhus BSS, Aarhus University
• May 2025 – July 2025 – Assistant Professor of Computer Science at the research group Programming, Logic and Intelligent Systems (PLIS), Roskilde University
• April 2024 - April 2025 – Research Associate at the Institute of Humanities-Centered Artificial Intelligence (CHAI), Universität Hamburg
• March 2021 - March 2024 – Research Assistant at the Institute of Information Systems (IFIS), University of Lübeck
• October 2017 - February 2021 – Tutor for various modules, including: Algorithms and Data Structures, Algorithm Design, Cybersecurity, Introduction to Web and Data Science, and Software Engineering (incl. Lab)

Education

• October 2024 – Dr. rer. nat., Universität zu Lübeck (PDF; Slides, German)
• September 2021 – M.Sc. in Computer Science, Universität zu Lübeck (PDF)

• October 2019 – B.Sc. in Computer Science, Universität zu Lübeck (PDF, German)

• Since October 2022 – Student of Law, Part-time, FernUni Hagen

Research

I am computer scientist in the area of machine learning and Artificial Intelligence (AI) with a focus on Natural Language Processing (NLP) and Large Language Models (LLMs).

My research addresses the fundamentals of AI and intelligent agent systems through interdisciplinary collaborations with the humanities, social sciences, and law. NLP is an indispensable ability for an intelligent system, to which, e.g., findings from hermeneutics in the field of explanation, interpretation, or translation can contribute.

Interests

• Intellectics
  • Artificial Intelligence, Agents, and their Applications
  • Natural Language Processing (NLP)
• Text understanding, especially by enriching texts with annotations and contextual representations
  • Machine Learning
  • Data Mining and Text Mining
  • Transformer based Large (Language) Models (a.o. BERT, GPT, Llama)
  • Subjective Content Descriptions
  • Topic Modelling
• Digital Governance und Cybersecurity

Activities

• Publications
• Projects
  • TEXT
• Other
  • Talks
  • Prizes
  • Tutorials
  • Workshops
  • Reviews

Teaching

• Theses

Lectures

• Creating Business Value with Generative AI (Bachelor course, Fall, 2025 - )
• Introduction to Python for Machine Learning and Data Science (as module “Tools for Scientific Work”, Bachelor course, Winter, 2022/23 - 2023/24)
• Introduction to R (as part of “Tools for Scientific Work”, Bachelor course, Winter, 2021/22)

Labs and Seminars

• Seminar: Multi Agent Systems (Bachelor and Master, Winter, 2024/25)
• Lab: Intelligent Agents (Master course, Winter, 2021/22 - 2023/24)

Tutorials (Teaching Assistant)

• Algorithms and Data Structures (Bachelor course, Summer, 2021 - 2023)
• Introduction to Web and Data Science (Bachelor course, Winter, 2020/21 - 2023/24)