Research at constructorknowledgelabs

Language

Compensation

€1,650/mo

Setup: Hybrid
Location: Bremen, Free Hanseatic City of Bremen
Type: Full-time
Level: not_specified
Posted: Jul 20, 2026

Description

This position involves contributing to groundbreaking research in AI-driven semantic structure extraction, automated reasoning-flow modeling, and adaptive content generation. The focus is on analyzing and representing deep semantic and pedagogical structures in scientific and educational materials, extracting conceptual and reasoning blocks, generating inference-time rationales, and adapting content sequences. Interdisciplinary collaboration across fields like computer science, computational linguistics, cognitive science, and learning sciences is highly encouraged.

Required Skills

Semantic Parsing
Structured NLP
Graph-Based Neural Models
Metacognitive Prompting
Ontology Alignment
Human-in-the-Loop Optimization
Datasets
Baseline Models
Personalized Learning Engines
Reasoning-Graph Representations
Cross-Domain Mapping Algorithms
RLHF-style Feedback Loops
Publications
Research Prototypes

Additional Information

Required Previous Experiences: Strong research interest and practical experience in one or more of the following areas:
Evidence of research potential through publications, a strong thesis, or significant projects.
Experience or interest in innovative teaching and learning approaches.
Ability to translate theoretical insights into engineered prototypes and systems supporting scientific or educational use cases.
Preferred Qualifications: Responsible, self-motivated, and capable of working independently as well as collaboratively.
Excellent verbal and written communication skills.
Intercultural competence and experience in international environments.
Fluency with co-pilot tools for coding and writing.
Fluency in English, the language of instruction and communication on campus.