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PhD Researcher: AI for Semantic Structures, Reasoning Flows & Personalized Content Generation(m/w/x)
At a private research university, foundational AI research for semantic structure extraction, reasoning flow modeling, and adaptive content generation. Master's or PhD in CS, AI, ML, or Computational Linguistics required; semantic parsing or knowledge graph experience essential. Monthly stipend €1,650, €100 research allowance, €100 health subsidy, and €550 mini-job allowance.
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Anforderungen
- Master’s or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field
- Strong research interest and practical experience in specified areas
- Experience in semantic parsing and structured representation learning
- Experience in knowledge graphs or graph-based reasoning
- Experience in transformer models, sequence modeling, or GNNs
- Experience in natural language generation and explainability
- Experience in educational AI, personalization algorithms, or cognitive modeling
- Evidence of research potential through publications, a strong thesis, or significant projects
- Experience or interest in innovative teaching and learning approaches
- Ability to translate theoretical insights into engineered prototypes and systems
- Responsibility, self-motivation, and capability to work independently and collaboratively
- Excellent verbal and written communication skills
- Intercultural competence and experience in international environments
- Fluency with co-pilot tools for coding and writing
- Fluency in English, the language of instruction and communication on campus
Aufgaben
- Contribute to foundational research in AI-driven semantic structure extraction
- Develop automated reasoning-flow models
- Create adaptive content generation methods
- Analyze and represent deep semantic and pedagogical structures
- Extract conceptual and reasoning blocks with high fidelity
- Generate inference-time rationale
- Sequence content in a learner-aware manner
- Work on semantic parsing and structured NLP
- Develop graph-based neural models
- Implement metacognitive prompting techniques
- Align ontologies across disciplines
- Optimize systems with human-in-the-loop approaches
- Develop datasets and baseline models
- Create personalized learning engines
- Design reasoning-graph representations
- Implement cross-domain mapping algorithms
- Establish RLHF-style feedback loops for system interpretability
- Publish high-quality research findings
- Release research prototypes and demonstrator systems
- Support structured semantic extraction and rationale-aware content generation
- Assist in teaching Machine Learning and Natural Language Processing
- Engage in course delivery and student advising
- Supervise Bachelor and Master theses
- Innovate methodologies for online, hybrid, and in-person learning
Berufserfahrung
Ausbildung
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Benefits
- Monthly stipend of €1,650
- Monthly research-cost allowance of €100
- Supplementary €550 mini-job allowance
- Health-insurance subsidy of €100 per month
Von Nejo automatisch aufbereitet
Nejo hat diesen Job automatisch von der Website des Unternehmens Constructor University Bremen gGmbH erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Zur Originalanzeige bei Constructor University Bremen gGmbHÜber das Unternehmen
Constructor University is committed to academic freedom and diversity, offering equal opportunities to all qualified applicants.
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