Research Associate / Doctoral Candidate (m/f/d)

Sei unter den ersten Bewerbenden.
TIB – Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
Niedersachsen
EUR 40.000 - 60.000
Sei unter den ersten Bewerbenden.
Gestern
Jobbeschreibung

Details and official application are HERE:

https://www.tib.eu/en/tib/careers-and-apprenticeships/vacancies/details/stellenausschreibung-nr-12-2025

How to apply: https://shorturl.at/Yo4Tv

As the German National Library of Science and Technology, our future-oriented services ensure the infrastructural requirements for a high-quality supply of information and literature for research in science and industry. With the Open Research Knowledge Graph (ORKG), we are working to revolutionise the exchange and use of scientific knowledge in the digital age.

The Technische Informationsbibliothek (TIB)– Leibniz Information Centre for Science and Technology– Program Area D, Open Research Knowledge Graph, is seeking to employ a

Research Associate / Doctoral Candidate (m/f/d)

to join the Artificial Intelligence for Scholarly Communication Research Group (Prof. Sahar Vahdati), starting at the earliest possible date.

The position is initially limited to 3 years with envisioned extension. The regular weekly working hours are 29.85 (part-time, 75%). The remuneration is based on pay scale group 13 TV-L.

The following qualifications are expected:

  • Educational Background: A successfully completed Master’s degree or equivalent in computer science, data science, artificial intelligence or a related field with very good grades.
  • Expertise in Artificial Intelligence and Natural Language Processing (NLP): Proven experience in AI with a strong focus on large language models, reasoning capabilities and natural language processing methodologies.
  • Passion for Complex Problem-Solving and AGI Development: A strong motivation to tackle challenging problems and contribute to advancements in artificial general intelligence.
  • Research-Oriented Mindset: Proven ability to design and execute experiments, analyze complex problems and contribute to cutting-edge research in AI and computational reasoning.
  • Programming and Analytical Skills: Advanced proficiency in Python and relevant ML frameworks (e.g. PyTorch, TensorFlow) combined with a solid understanding of data structures, algorithms and statistical methods.
  • Collaborative and Solution-Oriented Approach: A strong interest in collaborating with research communities, understanding their needs and translating their requirements into high-quality AI-driven solutions, especially in the context of language models and AI reasoning.
  • Language and Communication Skills: Excellent proficiency in written and spoken English, supported by strong communication abilities.
  • Time Management and Critical Thinking: The candidate is expected to have good time management skills and be able to balance conducting experiments, running simulations, analyzing data and writing papers. This requires the ability to work effectively with critical thinking and attention to detail.

If you are interested, questions regarding the position can be addressed to Daniel Eilers, People & Culture department, by mail at Daniel.Eilers@tib.eu.

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Sei unter den Ersten, die neue Stellenangebote für Research Associate / Doctoral Candidate (m/f/d) in Niedersachsen entdecken.