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Research Assistant – AI Recommendation System

Philipps-Universität Marburg · Marburg

Befristet Junior 🇬🇧 English
REST API PostgreSQL Neo4j semantic text analysis bibliometric methods

Job description

About the role

The University of Marburg’s Department of Mathematics and Computer Science is seeking a Research Assistant to join the Ewerth Research Group. The position focuses on research software engineering for a science‑supporting recommendation system that helps journal editors identify suitable reviewers.

Key responsibilities

  • Develop high‑performance recommendation algorithms that combine semantic text analysis with bibliometric methods.
  • Implement and improve citation‑network and co‑author‑network analyses.
  • Evaluate algorithms using established metrics and benchmark datasets.
  • Design and implement a REST API and a web interface for editorial teams.
  • Prototype and assess database architectures using PostgreSQL and Neo4j in collaboration with the university library (SLUB).
  • Document system architecture, API specifications, and technical components for reuse.

Required profile

  • MSc degree or equivalent in Computer Science, Information Science or a related field with a good or very good grade.
  • Strong interest in machine learning, information retrieval, and scientific publishing workflows.
  • Ability to work independently on a fixed‑term research project.

Required skills

  • REST API development
  • PostgreSQL
  • Neo4j
  • Semantic text analysis
  • Bibliometric and network analysis methods

What we offer

  • Full‑time fixed‑term contract (2 years) with public‑service salary (TV‑H E 13) and benefits.
  • Opportunity to contribute to a prototype that will be freely available to the scientific community.
  • Possibility to use project results for personal academic qualification outside working hours.

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Le contrat proposé est un Befristet basé à Marburg.

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Published 2 months ago

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Philipps-Universität Marburg

Marburg