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

Constructor University Bremen gGmbH

Bremen

On-site

EUR 24,000 - 29,000

Full time

14 days+

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Benefits offered by this job

PhD fellowship
Health insurance subsidy
Research-cost allowance
Mini-job allowance (optional)

Job summary

Constructor University Bremen gGmbH invites applications for Ph.D. student positions in Computer Science, focusing on AI and ML. The research aims to create flexible frameworks for knowledge representation, interactive knowledge graphs, and interpretable models for cross-domain data.

The appointment provides a full fellowship with a monthly stipend, research-cost allowance, health-insurance subsidy, and a mini-job option to support parallel part-time employment.

Qualifications

  • MSc in Computer Science, AI, ML or related field.
  • BSc with outstanding potential may fast-track to PhD.
  • Strong mathematical background for knowledge graphs.
  • Hands-on with large language models and AI research.
  • Publications in AI/ML or related areas are desirable.
  • Experience in practical research work and reporting.
  • Excellent academic English writing for papers and reports.

Skills

Mathematics
Knowledge graphs
Information retrieval
LLMs
Publications in AI/ML
Academic English writing
Research experience

Education

MSc degree in CS/AI/ML
BSc with fast-track PhD potential

Tools

LLMs
Knowledge graph frameworks

Job description

Constructor University (formerly Jacobs University) is a private, state-accredited, English-language university in Bremen. We offer Bachelor, Master, and PhD programs in three schools: School of Science, School of Computer Science and Engineering, and School of Business, Social and Decision Sciences. Our principles are first-class teaching and research, international diversity, and transdisciplinary cooperation. According to the 2024 Times Higher Education (THE) World University Rankings, Constructor University is among the top 25 percent out of more than 1900 universities worldwide and is ranked as the second most international university in the world. As an international university, we attract highly talented and open-minded students from all over the world. Currently, over 1,600 students from 110 nations live and study on our residential campus.

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.

Your Profile:
  • 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)

Constructor University (formerly Jacobs University Bremen gGmbH) is a private, state-accredited, English-language research university in Bremen. We are offer PreDegree, Bachelor, Master and PhD programs in three schools: School of Science, School of Computer Science & Engineering, and the School of Business, Social & Decision Sciences. We are involved in the professional development of specialists and managers and in the transfer of knowledge. Our principles are first class research and teaching, international diversity and transdisciplinary cooperation. As an international university, we attract highly talented and open-minded students from all over the world. Currently, more than 1,800 students from over 100 nations live and study on our residential campus.

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