HireFT
Browse JobsHow it worksPricingAboutSuccess Stories
    Back to jobs
    CO

    Constructor

    Information Technology & Services

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

    Bremen, GermanyOn-SitePart-timePosted 1mo ago
    View all jobs

    Job description

    Constructor University in collaboration with Constructor Knowledge Labs and Constructor Technology

    About 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.

    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.

    Applicant Profile

    Mandatory 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).

    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)

    Application Details

    • Expected start date: September, 2026

    Application 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.

    Job details are sourced from the employer's original posting.

    Open job posting
    CO

    About the company

    Constructor

    Constructor is the only search and product discovery platform designed exclusively for commerce where conversions matter. Our platform delivers unmatched KPI optimization and fast ROI for enterprise ecommerce brands, retailers, distributors, marketplaces, and more — while giving customers a personalized, enjoyable shopping experience. Unlike other platforms, Constructor is the only search and product discovery solution that was built from the ground up with clickstream data and advanced AI, not merely bolted onto a legacy keyword engine. Consistently outperforming competitors by an average of 3% in A/B tests, Constructor's cloud-based solutions harness the power of natural language processing, machine learning, collaborative personalization, and Generative AI to deliver compelling user experiences across all aspects of product discovery. From search to browsing, recommendations, collections, merchant intelligence, quizzes, attribute enrichment, and AI shopping assistants, Constructor covers the entire discovery journey. Optimizing specifically for ecommerce metrics like revenue, conversion rate and profit, Constructor generates consistent $10M+ revenue lifts for our customers, which include some of the world's most recognized brands, like Sephora, Petco, Bonobos, Target Australia, Birkenstock, The Very Group, and many more. Constructor was named a Strong Performer in The Forrester Wave™ for Commerce Search And Product Discovery, Q3 2023, and a Visionary in the First-Ever Gartner Magic Quadrant for Search and Product Discovery. Constructor also recently received multiple G2 Fall 2024 badges—including 'Leader,' 'High Performer for Enterprise,' and 'Best Support.' Learn more at constructor.com.

    View all Constructor jobsLinkedIn
    Industry
    Information Technology & Services
    Founded
    2015
    Open roles
    67

    Interested in this role?

    Apply with HireFT

    Free to start — no card required.

    Your fit

    How well do you match?

    Sign in to see how your résumé lines up with this role.