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
• Since May 2025 – Fellow, Institute of Humanities-Centered Artificial Intelligence (CHAI), University of Hamburg
• 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), University of 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

• May 2025 – Certificate in Law (EU, data, and privacy law; fundamentals of German law), FernUniversität in Hagen
• 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)

Research

I am a computer scientist working on machine learning and Artificial Intelligence (AI), with a focus on Natural Language Processing (NLP) and Large Language Models (LLMs) and their application in management, law, and the humanities.

My research addresses the fundamentals of AI and intelligent agent systems through interdisciplinary collaboration, connecting technical NLP methods with questions from the humanities, social sciences, and law. NLP is an indispensable capability for any intelligent system, and I draw on findings from hermeneutics – for example on explanation, interpretation, and translation – to help ground it.

Interests

• Intellectics
  • Artificial Intelligence, agents, and their applications
• Data Science
  • Exploratory data analysis and visualization
  • Applied statistical methods for interdisciplinary research
• Text understanding, particularly through enriching texts with annotations and contextual representations
  • Data mining and text mining
  • Topic modelling
  • Transformer-based large (language) models (e.g., BERT, GPT)
  • Subjective Content Descriptions (SCDs)
• Digital governance and cybersecurity
  • Governance, resilience, and security in organizational and business contexts
  • Bridging technical, legal, and organizational perspectives on digital risk and resilience

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)