Student assistant position: Python developer in the LASS KG project

We are searching for a student assistant to help us develop Knowledge Graph-driven Semantic Search applications.

Tasks and Insights

LASS KG is a project on Language Agnostic Semantic Search driven by Knowledge Graphs. The project aims at developing efficient and language-agnostic methods for semantic search over knowledge graphs. LASS KG is running together with the Springer Nature company (subsidiary of Holtzbrinck), which provides the project team with real-world use cases and data.

In particular, our research and development is focused on the following two products:

• Springer Materials
• Springer Experiments

The applicants will have to support the project with the development of a novel multilingual search engine for the aforementioned products.

Requirements

• Students in Bachelor and Master can apply.
• Fluency with Python and its basic Data Science stack: Pandas, Numpy, Sklearn, Matplotlib
• Understanding of the Web technology stack: HTTP Requests, RESTful APIs
• Understanding of the Semantic Web stack: RDF, SPARQL
• Basic knowledge of Shell scripting (e.g., ssh connection to a server)
• Basic understanding of CI/CD: Docker, GitHub Actions, Gitlab CI

We offer

• Work contracts up to 10 hours per week.
• The experience to work on real-world industry projects.
• An experienced development team.
• An air-conditioned workplace ❄
• A working culture which is open to new ideas 💡 and interested in discussing solutions.
• Bachelor and Master thesis topics can be defined related to one of these platforms.

Application

For further information, please, contact Aleksandr Perevalov via e-mail alpe@campus.uni-paderborn.de.
For applications, please, follow the workflow described on the vacancies page.