Ph.D. Researcher. Knowledge Discovery: From Unstructured Data to Shared Cognitive Maps
This listing is for a Ph.D. Researcher. Knowledge Discovery: From Unstructured Data to Shared Cognitive Maps role at Constructor Labs, in Bremen, Germany. It is listed as a full-time position.
DGJ summary of this job
Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.
This listing is for a Ph.D. Researcher. Knowledge Discovery: From Unstructured Data to Shared Cognitive Maps role at Constructor Labs, in Bremen, Germany. It is listed as a full-time position.
Skills and tools named in the text include research and curriculum.
No salary is given in this listing, so check the official pay figures in the DGJ Insight section below where they exist.
The advert does not mention visa sponsorship. If you would move to Germany for this job, check the official work permit route first (DGJ Insight lists it where we have it).
Dev Global Jobs found this job on Arbeitnow on Nov 2, 2026.
- Employer
- Constructor Labs
- Location
- Bremen, Germany
- Job type
- Full-time
- Pay
- Not stated by the employer
- Found
- Nov 2, 2026 on Arbeitnow
- Employer text
- 363 words, about 2 min to read
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DGJ Insight
Our own data about this role and place, from official statistics and our live job index.
Source: OECD Average annual wages, 2025
- EU Blue Card: Recognised degree and a job offer above the salary threshold
- Skilled worker visa (Fachkräfte): Recognised qualification and a job offer
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Official routes: Make it in Germany (Federal Government portal)
About the role
Full text from the employer, as published on Arbeitnow, arranged into sections. Nothing added or removed.
Constructor University in collaboration with Constructor Knowledge Labs and Constructor Technology
01About 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.
02Key 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.
03Mandatory 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).
04Funding & 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)
05Application Details
- Expected start date: September, 2026
06Application 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.
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