You are expected to conduct and lead internationally competitive research in AI-driven semantic analysis and automated reasoning-flow modeling, with applications to educational materials, scientific documents, and research authoring. Your work will focus on developing advanced methods for semantic structure extraction, conceptual and argumentative flow reconstruction, rationale-aware content generation, metacognitive prompting, and adaptive personalization. Core research contributions will include designing algorithms for concept and structure extraction, building neural/graph hybrid models for pedagogical reasoning, implementing ontology-alignment methods for cross-domain transfer, and creating human-in-the-loop optimization pipelines that incorporate expert feedback—aligning with the multi-year research roadmap (WP1–WP3) .
As a postdoctoral researcher, you will take a leading role in designing experiments, shaping research directions, supervising junior researchers (including PhD students), and contributing to the development of end-to-end demonstrator systems capable of generating structured, rationale-rich, and learner-adaptive content. You will be responsible for coordinating data annotation efforts, overseeing the construction of evaluation frameworks, and driving publication-quality research outputs, including survey papers, methodology papers, and cross-domain transfer studies. Interdisciplinary collaboration is strongly encouraged, especially at the intersection of computer science, computational linguistics, cognitive science, and learning technologies, and you will have opportunities to initiate or co-lead joint projects with internal and external partners.
The postdoctoral researcher will also contribute to teaching in areas such as Machine Learning, NLP, AI for Education, Explainable AI, and Python-based applied seminars, supporting course development and supervising Bachelor’s, Master’s, and PhD theses. The university provides a supportive academic environment—including mentoring, administrative support, computational resources, and opportunities for technology transfer and industry engagement—enabling the postdoctoral researcher to establish or strengthen an internationally visible research profile.
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.
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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.