Ph.D. Researcher. Knowledge Discovery: From Unstructured Data to Shared Cognitive Maps

Constructor Knowledge Labs; Bremen; Vor Ort; EUR 40.000 - 60.000; Vollzeit

Zusammenfassung

A leading educational institution in Bremen seeks a Ph.D. Researcher for advancing knowledge representation in Artificial Intelligence and Machine Learning. The successful applicant will transform unstructured data into interactive knowledge graphs and develop models for task-specific reasoning. Full financial coverage is provided through a fellowship, including a monthly stipend of €1,650 and research-cost allowance. Applicants should hold an MSc in a relevant field, strong mathematical and writing skills, and experience in AI/ML research.

Leistungen

Monthly stipend of €1,650

Monthly research-cost allowance of €100

Health-insurance subsidy of €100

Supplementary €550 mini-job allowance (optional)

Qualifikationen

• Holding recognized MSc degree in Computer Science, AI, ML, or related discipline.
• Strong mathematical background supported with experience in knowledge-graph or information retrieval systems.
• Hands-on experience with large language models and their applications.

Aufgaben

• Transform unstructured data into interactive knowledge graphs.
• Design models for interpretable, persistent, and navigable structures of knowledge.
• Explore individual and community-level knowledge modeling.

Kenntnisse

Strong mathematical background

Experience in knowledge-graph or information retrieval systems

Hands-on experience with large language models

Strong skills in academic English writing

Ausbildung

MSc degree in Computer Science, AI, ML or related discipline

BSc degree with outstanding performance

Jobbeschreibung

Ph.D. Researcher. Knowledge Discovery: From Unstructured Data to Shared Cognitive Maps

Constructor University in collaboration with Constructor Knowledge Labs and Constructor Technology

About the Position

The research group led by Prof. Dr. Andrey Ustyuzhanin at Constructor University, in collaboration with Constructor Knowledge Labs (CKL) and Constructor Technology (industry partner), invites applications for Ph.D. student positions in the field of Computer Science, with a focus on Artificial Intelligence (AI) and Machine Learning (ML).

This PhD position is part of an initiative to advance knowledge representation and adaptive reasoning systems. The research will focus on developing flexible frameworks for actionable knowledge representation that support storage, retrieval, and dynamic adaptation of information across diverse tasks.

Key objectives include:

• Transforming unstructured data into interactive knowledge graphs and personalized cognitive maps.
• Designing models that provide interpretable, persistent, and navigable structures of knowledge.
• Addressing challenges such as hierarchy, composability, and coarse-graining for robust, task-specific reasoning.
• Exploring individual and community-level knowledge modeling, including personalized domain maps, profile extraction from artifacts (e.g., papers, courses), and cross-domain abstraction.

The overarching goal is to create systems that enable transparent, adaptive, and spatially intuitive representations of knowledge, supporting both individual users and collaborative communities.

Mandatory requirements:

• Holding recognized MSc degree (or equivalent) in Computer Science, AI, ML, or a related discipline.
• Students holding BSc degree and exhibiting outstanding performance and extraordinary potential can apply for fast-track PhD.
• Strong mathematical background supported with experience in defining and developing knowledge-graph or information retrieval systems.
• Hands‑on experience with large language models (LLMs) and their applications.
• A track record of publications in AI/ML or related areas.
• Documented experience in practical research work.
• Strong skills in academic English writing (peer-reviewed papers, reports, or equivalent).

Funding & Appointment Terms

The appointment provides full financial coverage through a dedicated fellowship, comprising:

• Monthly stipend of €1,650
• Monthly research-cost allowance of €100 (Forschungskostenpauschale)
• Health‑insurance subsidy of €100 per month
• Supplementary €550 mini‑job allowance to support parallel part‑time employment (optional)

Application package must include:

• Academic transcripts;
• A detailed letter of motivation outlining research interests and career goals;

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