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2026 Research Associate in Trustworthy Artificial Intelligence at the University of Hamburg

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The postdoctoral researcher position is based at the Professorship of Trustworthy Artificial Intelligence (formerly Professorship of Data Science), led by Prof. Dr. Anne Lauscher. The group conducts fundamental and applied research on the latest generation of generative AI models and systems, with a particular emphasis on system trustworthiness. Our overarching goal is to advance the effectiveness and capabilities of modern AI systems while systematically addressing ethical and safety challenges. We are committed to developing solutions that are not only high-performing, but also environmentally sustainable, fair, inclusive, and socially responsible.

The successful candidate will contribute to both teaching and research. The position includes teaching duties of 4 * 45 minutes per week during the semester (4 LVS). Teaching responsibilities may include, for example, exercise sessions, seminars, and supervision of student theses.

In addition, the postdoctoral researcher will have the opportunity to:

  • contribute to the supervision and mentoring of Ph.D. students,
  • support the professorship in selected organizational and academic service tasks, and
  • pursue an independent research agenda in natural language processing and artificial intelligence, closely aligned with the group's focus areas, to further qualify within their academic career.

Table of Content

Summary

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Benefits

  • Reliable remuneration based on wage agreements
  • Continuing education opportunities
  • University pensions
  • Attractive location
  • Flexible working hours
  • Work-life balance opportunities
  • Health management, EGYM Wellpass
  • Educational leave
  • 30 days of vacation per annum

Requirements

A university degree in a relevant field, plus doctorate.

We welcome applicants with expertise in one or more of the following research directions:

  • Ethical and Safe Generative AI (e.g., fairness, inclusiveness, robustness, hallucination and toxicity mitigation, alignment)
  • Multilingual and Multicultural AI
  • Multimodality, Agentic AI, and Multi-Agent Systems
  • Model Interpretability and Explainability

In addition to your profile:

  • Ph.D. degree in computer science, artificial intelligence, natural language processing, computational linguistics, linguistics, or another relevant field
  • a publication record relevant to the topics listed above including top-tier publications (A or A* according to the established core ranking for cs conference publications)
  • very good technical skills and knowledge, e.g., machine learning, natural language processing, large language models, Python and relevant AI frameworks (e.g., Transformers), etc.
  • very good proficiency of the English language
  • basic proficiency of German is a plus, but not strictly required
  • teaching and supervision experience is a plus, but not strictly required
  • interest and joy in seeking creative solutions

Application Documents

  • cover letter
  • CV
  • copies of degree certificate(s)
  • one relevant publication
  • teaching evaluation if possible

Check also:
2026 Fully Funded Humboldt Research Fellowship
2026 Konrad Adenauer Foundation Scholarship

Application Deadline

March 2, 2026

How To Apply

For more information, kindly visit the University of Hamburg webpage.

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