Publisher
source

Leibniz University Hannover

PhD Position in Neurosymbolic AI for Scientific Workflows at Leibniz University Hannover Leibniz University Hannover in Germany

Degree Level

PhD

Field of study

Computer Science

Funding

36-month doctoral position at salary scale 13 TV-L, 75% employment. The post is based at Leibniz University Hannover/L3S Research Center and is a paid research assistant role rather than a scholarship.

Deadline

Expired

Country flag

Country

Germany

University

Leibniz University Hannover

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Keywords

Computer Science
Data Science
Machine Learning
Information Technology
Deep Learning
Mathematics
Artificial Intelligence
Python Programming
Statistics
Multi-agent System
Large Language Models

About this position

Leibniz University Hannover / L3S Research Center is advertising a PhD position in Neurosymbolic AI for Scientific Workflows. The project focuses on developing data-driven, adaptive, human-in-the-loop, and semi-autonomous pipelines that make research processes more efficient, transparent, and reproducible.

The successful candidate will work on the design, development, and implementation of neurosymbolic AI and integrated LLM architectures, including the integration of large language models and agentic systems into scientific workflows. Additional tasks include designing and evaluating multi-agent architectures, analyzing heterogeneous data sources for decision support, running experiments, and publishing results in international journals and top-tier conferences.

This opportunity is based in Hannover, Germany, at an internationally renowned interdisciplinary research center active in AI, machine learning, web science, data science, and digital libraries. The position is a 36-month doctoral research assistant role at salary scale 13 TV-L, 75%.

Eligibility highlights: applicants should hold a Master’s degree or equivalent in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field. Strong knowledge of machine learning/deep learning, solid Python programming skills, and very good English are expected. Experience with LLMs or agentic systems is a major advantage.

Application deadline: 31 May 2026. Applicants should send their materials as a single PDF to [email protected]. For more information, contact Dr. Gollam Rabby.

Funding details

36-month doctoral position at salary scale 13 TV-L, 75% employment. The post is based at Leibniz University Hannover/L3S Research Center and is a paid research assistant role rather than a scholarship.

What's required

Applicants must hold a completed Master’s degree or equivalent in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field. Very good knowledge of Machine Learning and/or Deep Learning is preferred, along with solid programming skills (e.g., Python) and very good English skills in speaking and writing. Experience with Large Language Models and/or agentic systems is a strong advantage.

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Germany

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Computational Linguistics

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