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Student Assistant (m/f/d) AI Agent Development and Research Support

Eckdaten

Hochschule
Uni Göttingen
Website
uni-goettingen.de ↗
Standort
Göttingen
Stellenart
SHK / WHK
Anstellungsart
Teilzeit
Fachgebiete
Informatik, Künstliche Intelligenz, Softwareentwicklung, Wirtschaftsinformatik, Wirtschaftswissenschaft

The Chair of Human Resource Management and International Management (Prof. Dr. Dr. Fabian Froese) at the University of Göttingen invites applications for the position of Student Assistant (m/f/d) AI Agent Development and Research Support to support research on AI agents in global virtual teams. The position is for 30 hours per month, starting as soon as possible by agreement and ending on 30 April 2027.

Your tasks

  • Develop and configure AI agents using programming and workflow tools such as n8n, including prompts, tool connections and automated workflows.
  • Integrate agents with platforms such as Microsoft Teams, Zoom and Google Drive to access team communications and shared materials.
  • Test agent behaviour, monitor operation and troubleshoot technical problems during the project.
  • Maintain interaction logs, export and clean research data, and provide technical support to participants.

Your profile

  • Currently enrolled at the University of Göttingen in Computer Science, Information Systems or a related technical discipline. Bachelor’s and master’s students are welcome.
  • Practical experience with n8n and AI agents, including prompt engineering, workflow logic and troubleshooting.
  • Good Python skills, familiarity with REST APIs, webhooks, JSON and secure authentication, and the ability to implement technical solutions independently.
  • Experience with Git/GitHub, JavaScript, retrieval-augmented generation (RAG) or vector databases is desirable.
  • Good communication skills in English and German, a reliable and structured approach to work, and an interest in human–AI collaboration.

We offer

  • Practical experience developing AI agents within an international research project.
  • Close collaboration with our research team in a supportive working environment.
  • Flexible working hours and varied tasks with scope for independent work.

Remuneration is in accordance with the applicable regulations for student assistants.

Please send your CV, current transcript and a short motivation statement in English to Farhad Najaf zada (farhad.najaf-zada@uni-goettingen.de) by 22 November 2026. You are welcome to include a GitHub profile or relevant work samples. For questions, please contact Farhad Najaf-zada at the same email address. We look forward to receiving your application!

Um dich für diesen Job zu bewerben, besuche bitte www.stellenwerk.de.

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