Constructor Knowledge Labs

Applied CS, ML and AI research

Ph.D. Researcher: Knowledge Discovery

AI ResearchConfirmed live in the last 24 hours

Full-timeBremen, GermanyIn-person

About the Job

Requirements

Hold a recognized Master of Science degree or equivalent in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline; applicants with a Bachelor of Science degree may apply for the fast-track Ph.D. if they demonstrate outstanding performance and extraordinary potential.
Have a strong mathematical background and experience defining and developing knowledge-graph or information-retrieval systems.
Have hands-on experience with large language models and their applications.
Have a track record of publications in Artificial Intelligence, Machine Learning, or related areas.
Have documented experience in practical research work.
Have strong academic English writing skills, demonstrated through peer-reviewed papers, reports, or equivalent.

Responsibilities

Transform unstructured data into interactive knowledge graphs and personalized cognitive maps.
Design models that provide interpretable, persistent, and navigable structures of knowledge.
Address challenges including hierarchy, composability, and coarse-graining to support robust, task-specific reasoning.
Explore individual- and community-level knowledge modeling, including personalized domain maps, profile extraction from artifacts such as papers and courses, and cross-domain abstraction.
Develop flexible frameworks for actionable knowledge representation that support information storage, retrieval, and dynamic adaptation across diverse tasks. The goal is to create transparent, adaptive, and spatially intuitive knowledge representations for individuals and collaborative communities.

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.

Applicant Profile

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 Details

Expected start date: September, 2026

Application package must include: 

Curriculum Vitae (CV);
Academic transcripts ;
A detailed letter of motivation outlining research interests and career goals;
2 recommendation letters;

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

About the Company

Constructor Knowledge Labs

Applied CS, ML and AI research

Constructor Knowledge Labs focuses on applied research in Computer Science, Software Engineering, Machine Learning, and Artificial Intelligence. It works through collaborative projects and joint PhD programs in partnership with Constructor University, applying advanced methodologies to interdisciplinary fields like Robotics, the Metaverse, Neurosciences, Neuropsychology, Education, and Life Sciences from its base in Bremen, Germany. The center conducts research rather than selling a single product, using its expertise to tackle real-world problems by developing models, systems, and methods that can cross domain boundaries. It differentiates itself through a close university partnership, an emphasis on practical, applied research, and a multi-disciplinary approach spanning tech and science domains, aiming to produce tangible innovations. The goal is to make a meaningful impact by solving real-world challenges through applied research and technological advancement.

Company size: Not listed
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