PhD Researcher: AI for Semantic Structures, Reasoning Flows & Personalized Content Generation

Constructor University Bremen gGmbH; Bremen; Hybrid; EUR 18.000 - 25.000; Vollzeit

Benefits dieser Stelle

Health-insurance subsidy

Research-cost allowance

Mini-job allowance (optional)

Zusammenfassung

Constructor University Bremen gGmbH invites applications for a research fellowship to advance AI-driven semantic structure extraction, automated reasoning-flow modeling, and adaptive content generation. The role emphasizes dataset creation, baseline models, and personalized learning engines in an interdisciplinary setting.

You will publish成果, support demonstrators, and contribute to teaching in areas like Machine Learning, NLP, AI in Education, and Python-based seminars at BSc, MSc, and PhD

Qualifikationen

• Master’s or PhD in Computer Science, AI, ML or Computational Linguistics is required.
• Strong research potential with publications, a robust thesis or notable projects is expected.
• Experience or interest in innovative teaching and learning approaches is preferred.

Aufgaben

• Assist in course delivery, advising students, supervising theses, and innovating online, hybrid and in-person learning.
• Contribute to developing datasets, baseline models, personalized learning engines and reasoning-graph representations.
• Publish research results and support demonstrator systems for structured semantic extraction and rationale-aware content generation.
• Support teaching activities in Machine Learning, NLP, AI in Education, Knowledge Representation and Python-based analytical seminars.

Kenntnisse

Semantic parsing

Knowledge graphs

Graph-based reasoning

Transformer models

Natural language generation

Educational AI

Cognitive modeling

Intercultural competence

Copilot tools

English proficiency

Ausbildung

Master’s or PhD in Computer Science / AI / ML / Computational Linguistics

Tools

Python

Jobbeschreibung

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 1,600 students from 110 nations live and study on our residential campus.

Research Focus

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 encouraged—particularly 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

• Assisting in course delivery, advising students, supervising Bachelor/Master theses, and engaging in methodological innovation for online, hybrid, and in-person learning environments.

Profile

• 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 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 €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)

Expected start date: February 2026

Constructor University (formerly Jacobs University Bremen gGmbH) is a private, state-accredited, English-language research university in Bremen.

We offer Pre-Grade, Bachelor, Master and PhD programs in three schools: School of Science, School of Computer Science & Engineering, and the School of Business, Social & Decision Sciences.

We are involved in the professional development of specialists and managers and in the transfer of knowledge.

Our principles are first class research and teaching, international diversity and transdisciplinary cooperation.

As an international university, we attract highly talented and open-minded students from all over the world.

Currently, more than 1,800 students from over 100 nations live and study on our residential campus.