Ph.D. Researcher Knowledge Discovery: From Unstructured Data to Shared Cognitive Maps
About the job
- 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).
- 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.
About the company
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.
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Simplify's Take
What believers are saying
- Constructor Labs launched multiple 2026 initiatives, including AI4X prizes and PhantomOS at FOSDEM.
- Constructor Capital closed a $110M Fund I on February 2, 2026.
- The June 2026 accelerator cohort drew 2,100 applicants, signaling strong ecosystem demand.
What critics are saying
- Its website showed zero researchers, zero projects, zero interns, and zero publications in June 2026.
- The organization relies on ecosystem funding and recruiting, including Constructor Capital’s $110M fund.
- Autonomous racing’s October 2026 A2RL milestone creates execution risk if results disappoint.
What makes Constructor Knowledge Labs unique
- Constructor Knowledge Labs integrates research with Constructor University, students, and Constructor Tech.
- Its 2026 work spans AI, robotics, autonomous racing, and knowledge engineering.
- The lab offers funded PhD tracks and fellowships, attracting early-career researchers.
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Benefits
Health Insurance
Flexible Work Hours
Hybrid Work Options
Remote Work Options