PhD Researcher Scholarship: AI for Semantic Structures, Germany

Summary

Constructor Labs is offering a fully funded PhD Researcher scholarship focused on cutting-edge AI research. This position involves developing foundational AI for semantic structure extraction, automated reasoning-flow modeling, and adaptive content generation, particularly within scientific and educational contexts. The successful candidate will contribute to high-quality publications, research prototypes, and support teaching activities in related fields.

PhD Researcher Scholarship: AI for Semantic Structures, Reasoning Flows & Personalized Content Generation

Designation

PhD Researcher: AI for Semantic Structures, Reasoning Flows & Personalized Content Generation

Location

Bremen, Germany

Scholarship Description

This PhD research position at Constructor Labs is dedicated to advancing AI-driven semantic understanding and personalized learning. The core work involves analyzing and representing deep semantic and pedagogical structures in educational materials, extracting conceptual and reasoning blocks, generating inference-time rationales, and adaptively sequencing content for learners. Key research areas include semantic parsing, structured NLP, graph-based neural models, metacognitive prompting, and ontology alignment. The role encourages interdisciplinary collaboration across computer science, computational linguistics, cognitive science, and learning sciences. Responsibilities also include developing datasets, personalized learning engines, and contributing to high-quality publications and research prototypes. The scholarship provides full financial coverage and strong support for early-career researchers, including mentorship, computational resources, and conference funding.

Research Areas

• AI for Semantic Structure Extraction
• Automated Reasoning-Flow Modeling
• Adaptive Content Generation
• Semantic Parsing and Structured Representation Learning
• Knowledge Graphs and Graph-based Reasoning
• Transformer Models, Sequence Modeling, and GNNs
• Natural Language Generation and Explainability
• Educational AI, Personalization Algorithms, and Cognitive Modeling

Eligibility/Qualification

Mandatory Requirements

• Master’s or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field.
• Strong research interest and practical experience in one or more of the specified research 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.
• Responsible, self-motivated, and capable of working independently and 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.

Funding & Appointment Terms

How to Apply

The application package must include:

• Curriculum Vitae (CV)
• Academic transcripts
• A detailed letter of motivation outlining research interests and career goals
• 2 recommendation letters
• Bachelor and Master’s diploma (in original language and English)

Applications are reviewed on a rolling basis. Shortlisted candidates will be invited for interviews.

Last Date for Apply

Applications are reviewed on a rolling basis, so early application is encouraged.

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