Constructor Labs · Bremen
<h3>Constructor University in collaboration with Constructor Knowledge Labs and Constructor Technology</h3> <hr> <h3>About the Position</h3> <p>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).</p> <p>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.</p> <h2><strong>Key objectives include:</strong></h2> <ul> <li>Transforming unstructured data into interactive knowledge graphs and personalized cognitive maps.</li> <li>Designing models that provide interpretable, persistent, and navigable structures of knowledge.</li> <li>Addressing challenges such as hierarchy, composability, and coarse-graining for robust, task-specific reasoning.</li> <li>Exploring individual and community-level knowledge modeling, including personalized domain maps, profile extraction from artifacts (e.g., papers, courses), and cross-domain abstraction.</li> </ul> <p>The overarching goal is to create systems that enable <strong>transparent, adaptive, and spatially intuitive representations of knowledge</strong>, supporting both individual users and collaborative communities.</p> <hr> <h3>Applicant Profile</h3> <h2>Mandatory requirements:</h2> <ul> <li>Holding recognized MSc degree (or equivalent) in Computer Science, AI, ML, or a related discipline.</li> <li>Students holding BSc degree and exhibiting outstanding performance and extraordinary potential can apply for fast-track PhD.</li> <li>Strong mathematical background supported with experience in defining and devel…
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