Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Part Time
- Contract Type
- Temporary employment
- Salary
- 1.650 to 1.650€ Gross/Month
- Location
- Bremen
- Working Model
- Onsite
Job Summary
In this position, you will develop innovative frameworks for knowledge-based systems, transform unstructured data into interactive knowledge graphs, and work on personalized cognitive maps and adaptive information models.
Your role in the team
- 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.
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Our expectations of you
Education
- Holding recognized MSc degree (or equivalent) in Computer Science, AI, ML, or a related discipline.
- Students holding a BSc degree and exhibiting outstanding performance and extraordinary potential can apply for a fast-track PhD.
Qualifications
- A track record of publications in AI/ML or related areas.
- Strong skills in academic English writing (peer-reviewed papers, reports, or equivalent).
Experience
- 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.
- Documented experience in practical research work.
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What we offer
- 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)
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Topics that you deal with on the job
Job Locations
This is your employer
Constructor Knowledge Labs
Constructor Knowledge Labs is a research institute in Bremen that focuses on promoting applied research in the fields of computer science, software engineering, machine learning, and artificial intelligence. The institute develops novel AI methods and applies them in interdisciplinary areas such as robotics, natural sciences, life sciences, and education.
Description
- Company Type
- Established Company
- Working Model
- Onsite
- Industry
- Science, Research
PhD Researcher Knowledge Discovery
- Salary
- 1.650 to 1.650€ Gross/Month
- Location
- Bremen
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
