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    CO

    Constructor

    Information Technology & Services

    Ph.D. Position in Computer Science (Wearable Intelligence & Data Fusion)

    Bremen, GermanyOn-SitePart-timePosted 1mo ago
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    Job description

    Constructor University in collaboration with Constructor Knowledge Labs and Constructor Technology

    About the Position

    The research group of Dr. Sari Sadiya at Constructor Knowledge Labs (CKL), in collaboration with Constructor University (CU) and Constructor Technology (CT), invites applicants for Ph.D. student positions in Computer Science with a focus on wearable intelligence, multimodal data fusion, and edge AI.

    The project investigates how wearable data streams can be transformed into structured knowledge and integrated into a knowledge-grounded digital avatar that supports bi-directional collaboration in education and research.

    Ph.D. students will work in a highly interdisciplinary environment, combining AI/ML, edge computing, cognitive science, and human–computer interaction. In close collaboration with academia and industry, they will contribute to building privacy-preserving, real-time personalization frameworks while pursuing their doctoral dissertation.

    About the Program

    The PhD program is research-centered, emphasizing original contributions in:

    • Wearable data analytics and fusion methods
    • Biomedical data analytics
    • On-device processing and performance modeling
    • Personalization and adaptive reasoning systems
    • AI for Education

    Doctoral students will also have access to specialized courses in:

    • Artificial Intelligence, Machine Learning, and Edge Computing
    • Advanced Computational Methods and Data Science
    • Cognitive Science and Human-Centered Computing

    As part of the program, students will collaborate with Constructor Technology to gain first-hand industrial experience, contributing to real-world testbeds and prototypes.

    Research Focus

    This PhD position is part of the Wearable Intelligence Project, with two main research directions:

    • Data fusion of heterogeneous temporal streams
      • Designing algorithms to unify multimodal signals (physiological, cognitive, contextual, scheduling, and learning data).
      • Developing pipelines that produce structured insights powering the Agentic Personalization Engine (APE).
    • On-device data processing & performance modeling
      • Developing models balancing computation, energy, and data flows across wearable, edge, and cloud environments.
      • Exploring feasibility of running compact micro-LLMs directly on wearables.

    The overarching goal is to create scalable, ethical, and transparent personalization systems that support education and research.

    Funding

    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 €603 mini-job allowance to support parallel part-time employment (optional)

    Constructor Knowledge Labs actively supports candidates in preparing applications for external funding — doctoral scholarships, foundations, or international mobility grants — and can provide institutional support and references

    Applicant Profile

    Mandatory requirements:

    • MSc degree (or equivalent) in Computer Science, AI/ML, Data Science, Cognitive Science, or related disciplines.
    • Strong background in AI/ML, signal processing, or edge computing.
    • Hands-on experience with wearable or multimodal data (e.g., heart rate, EEG, activity, sleep, GPS).
    • Solid mathematical and computational modeling skills.
    • Proficiency in academic English writing (e.g., reports, papers, theses).

    Preferred qualifications:

    • Experience with LLMs, multimodal data fusion, or agent-based AI systems.
    • Familiarity with privacy-preserving ML, dynamic consent, and GDPR-compliant frameworks.
    • Demonstrated ability to conduct independent research and collaborate across disciplines.
    • Interest in teaching, mentoring, and applied industrial research.

    Application Details

    • Deadline: August 31, 2026

    Required documents:

    • Curriculum Vitae (CV);
    • Academic transcripts;
    • 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

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