PhD Candidate / Junior Researcher (Information Service Engineering) | Doktorand (m/w/d)

FIZ Karlsruhe – Leibniz-Institut für Informationsinfrastruktur GmbH

Eggenstein-Leopoldshafen, Baden-Württemberg, Deutschland
Published Oct 26, 2025
Full-time
No information

Job Summary

FIZ Karlsruhe is seeking a highly motivated PhD Candidate or Junior Researcher to join the Information Service Engineering research area in Karlsruhe, starting in January 2026. This role offers a unique opportunity to shape a scientific career in knowledge-based Artificial Intelligence (AI), specifically within the federally funded "Themenportal Wiedergutmachung" project. The core focus will be on conducting innovative research in cutting-edge fields such as Information Extraction, Knowledge Graphs, Deep Learning, Large Language Models, and Neurosymbolic AI, culminating in scientific publications. Day-to-day responsibilities also include project management tasks like internal and external coordination, reporting, and supporting applications for third-party funding. Successful candidates must possess an excellent Master's degree in Computer Science or a related discipline, coupled with strong software development skills. This position is ideal for those eager to tackle challenging research problems and contribute to the development of innovative information infrastructures.

Required Skills

Education

Excellent Master's degree in Computer Science or a comparable discipline

Experience

  • Strong professional experience in software development, ideally developing mature software components.
  • Experience or willingness to supervise Master's and Bachelor's theses.
  • Experience in project management tasks, including internal/external coordination and reporting.
  • Profound knowledge in research areas such as Machine Learning, Knowledge Graphs, or Natural Language Processing.

Languages

German (Basic)English (Fluent)

Additional

  • Start date: January 2026; High level of self-motivation and organizational skills required; Interest in solving challenging research problems.