CareerPlan

– Postdoc – Wissenschaftliche/-r Mitarbeiter/-in (m/w/d) in der Professur für Data Engineering

Hamburg, HAMBURGFull-time2026-11-02 → 2026-11-10

Core

Developing methods and frameworks that connect data-driven learning with structured domain knowledge, formal models, and semantic representations, focusing on neurosymbolic AI and multi-agent systems.

Role type

Postdoctoral researcher (Data Engineering & Neurosymbolic AI)

Builds

Research methods, frameworks, and prototypes for data engineering, knowledge graphs, and neurosymbolic AI systems.

Domain

Data Engineering, Artificial Intelligence, Knowledge Representation

Deliverable

research

Required skills

Machine Learning, Knowledge Graphs, Ontologies, Neurosymbolic AI, Multi-agent Systems, Data Integration, Formal Logic, Data Management

Preferred skills

Teaching experience, Habilitation preparation, English language proficiency

Technologies

Knowledge Graphs, Semantic Technologies, Deep Learning, Formal Reasoning

Responsibilities

Conceive and develop research activities in Data Engineering and AI; Develop and research innovative methods for integrating and analyzing heterogeneous data; Provide academic guidance and coordinate research projects; Present and publish scientific results; Participate in teaching (3.0 Trimester hours).