DBIS

For the upcoming StreamFröst Project, we are looking for student assistants to support the development of a Framework to enable cross-organizational Data Stream Processing.

For the upcoming StreamFröst Project, we are looking for student assistants to support the development of a Framework to enable cross-organizational Data Stream Processing.

Du bist kreativ, engagiert und hast Lust, neben Deinem Studium praktische Erfahrungen zu sammeln? Du interessierst Dich für das Zusammenspiel von Wissenschaft und Wirtschaft?

Dann bewirb Dich jetzt bei uns! Das Fraunhofer-Institut für Angewandte Informationstechnik FIT in Sankt Augustin sucht ab sofort für mind. 12 Monate eine Studentisch Hilfskraft (M/W/D) im Bereich der Informatik

For the upcoming BMBF-funded SAFERWATER Project, we are looking for a HiWi to support the deployment of our Decentralized Analysis Software and assisting in the development of new features.

As a member of a small development team, you’ll be assisting us in the backend development of a data marketplace platform built on Distributed Ledger Technologies, modern web technologies and an application server in Rust.

We are looking for a student assistant for research in data sharing and for the development of web applications in this area. 

Are you creative, committed, and want to gain practical work or research experience in an AI-oriented project? As a participant in the AI service center WestAI project, our team is looking for a student to support our AI research and AI services development.

Du bist kreativ, engagiert und hast Lust, neben Deinem Studium praktische Erfahrungen zu sammeln? Du interessierst Dich für das Zusammenspiel von Wissenschaft und Wirtschaft? 

Dann bewirb Dich jetzt bei uns! Das Fraunhofer-Institut für Angewandte Informationstechnik FIT in Sankt Augustin sucht ab sofort für mind. 6 Monate eine

Large Language Models (LLMs), e.g., ChatGPT, show impressive performance in building state-of-the-art applications such as conversational AI assistants. However, LLMs fail unpredictably in knowledge-intensive tasks, i.e., in scenarios where factually correct answers must be guaranteed. Knowledge Graphs (KGs), on the other hand, can represent knowledge as triples and have complementary strengths to LLMs’ weaknesses. As a member of the Data Science and Artificial Intelligence department, you will support us in designing empirically well-grounded methods for combining LLMs and KGs in both directions, i.e., using LLMs to automate the construction of KGs, and the use of KGs to improve the unsound answers that LLMs often produce. Your employment should start as soon as possible.