PhD Researcher AI for Semantic Structures, Reasoning Flows & Personalized Content Generation
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Posted on:
19 hours ago
Vacancies:
1 Vacancy
Job Summary
Constructor University (formerly Jacobs University) is a private state-accredited English-language university in Bremen. We offer Bachelor Master and PhD programs in three schools: School of Science School of Computer Science and Engineering and School of Business Social and Decision Sciences. Our principles are first-class teaching and research international diversity and transdisciplinary cooperation. According to the 2024 Times Higher Education (THE) World University Rankings Constructor University is among the top 25 percent out of more than 1900 universities worldwide and is ranked as the second most international university in the world. As an international university we attract highly talented and open-minded students from all over the world. Currently over 1600 students from 110 nations live and study on our residential campus.
You are expected to contribute to the development of internationally visible foundational research in AI-driven semantic structure extraction automated reasoning-flow modeling and adaptive content generation. The research focuses on methods for analyzing and representing deep semantic and pedagogical structures in scientific and educational materials; high-fidelity extraction of conceptual and reasoning blocks; inference-time rationale generation; and adaptive learner-aware sequencing of content. This includes work on semantic parsing structured NLP graph-based neural models metacognitive prompting ontology alignment across disciplines and human-in-the-loop optimization.
In this context interdisciplinary research is strongly encouragedparticularly collaborations spanning computer science computational linguistics cognitive science and the learning sciences. You will contribute to developing datasets baseline models personalized learning engines reasoning-graph representations cross-domain mapping algorithms and RLHF-style feedback loops that improve system interpretability and instructional quality. The successful candidate will also contribute to high-quality publications release research prototypes and support demonstrator systems that deliver structured semantic extraction rationale-aware content generation and cross-domain transfer of reasoning structures.
Additionally the successful candidate is expected to support teaching activities in areas such as Machine Learning Natural Language Processing AI in Education Knowledge Representation and Python-based analytical seminars at the BSc MSc and PhD levels. Responsibilities include assisting in course delivery advising students supervising Bachelor/Master theses and engaging in methodological innovation for online hybrid and in-person learning environments. The university provides strong support for early-career researchers including mentorship administrative assistance access to computational resources conference funding and opportunities to collaborate with other research groups and industrial partners working at the intersection of AI and digital education.
Your Profile
Masters or PhD degree in Computer Science Artificial Intelligence Machine Learning Computational Linguistics or a related field.
Strong research interest and practical experience in one or more of the following areas:
semantic parsing and structured representation learning
knowledge graphs or graph-based reasoning
transformer models sequence modeling or GNNs
natural language generation and explainability
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 supporting scientific or educational use cases.
Responsible self-motivated and capable of working independently as well as 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.
Funding & Appointment Terms
The appointment provides full financial coverage through a dedicated fellowship comprising:
Monthly stipend of 1650
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:February 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 candidateswill be invited to interviews.
Required Experience:
IC
Key Skills
- Intelligence Community Experience
- Python
- Spss
- Microsoft Word
- R
- Regression Analysis
- Windows
- Stata
- Microsoft Powerpoint
- Research Experience
- Data Modeling
- Writing Skills
About Company
Embark on a historical voyage with Constructor University, born from a collaborative effort in 1999 and rebranded in 2022. Unravel its transformation from military barracks to a prestigious international research institution.
