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Research assistant / doctoral candidate in Conversational AI and Large Language Models (m/f/d)


Details des Angebots

Allgemeine Informationen

Kennziffer

2024-1194  

Zitat vorgesetzte Person

«This newly created position offers you a unique opportunity to help shape and explore the future of AI-driven learning at the cutting edge.»

Name vorgesetzte Person

Prof. Dr. Siegfried Handschuh

Zitat zweite Person (Personalbeauftragte:r)

«This is an exciting opportunity and we encourage you to apply. If you have any questions, please don't hesitate to reach out to us.»

Name zweite Person

Patricia Nikolaus

Beschreibung der Stelle

Titel des Stelleninserats

Research assistant / doctoral candidate in Conversational AI and Large Language Models (m/f/d)

Kern- und Hauptaufgaben

  • Collaboration in the research area AIED (Artificial Intelligence in Education).
  • Research and application of large language models for AI-based 
    chatbots.
  • Further development of a conversational AI platform.
  • Integration of Retrieval Augmented Generation (RAG) and vector database vector database technology.
  • Collaboration in an interdisciplinary research group, together with Prof. Dr. Sabine Seufert (Institute for Educational Management and Educational Technologies) and our practice partner, the EdTech startup "Brian" (AI-supported software for personalised and collaborative learning, for learners and teachers, supplemented by learning analytics functions, https://brian.study/)
  • The position is linked to a doctorate in this subject area.

Erwartete Kompetenzen / Profil

XXX

Vorstellung der Organisationseinheit (im Inserat)

Our research at the Chair of Data Science and Natural Language Processing at the Institute of Computer Science (ICS-HSG) focuses on the areas of large language models (LLM) and quantitative data science. We collaborate with the Institute for Educational Management and Educational Technologies (IBB), as well as the EdTech Startup Brian on questions at the interface of education and technology.

Beschäftigungsgrad in % (als ganze Zahl angeben)

100

Gewünschtes Eintrittstermin

01.05.2024

Einsatzdauer

unbefristet

Betreut durch

Hauptansprechperson

Siegfried Handschuh