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Bremen, Bremen, Germany · On-site
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Bremen, Bremen, Germany · On-site
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Bremen, Bremen, Germany · Hybrid
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Bremen, Bremen, Germany · On-site
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Bremen, Bremen, Germany · Remote OK
$67k–$109k/yr
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Bremen, Bremen, Germany · Remote OK
$67k–$109k/yr
Looking to work with cutting-edge engineering software? What if you could work with all of them? WHAT YOU WILL DO At Synera, we build an agentic automation platform for engineers that helps them create better products fa…
Skills: C#, C++, Integration Development, PLM, SPDM
Bremen, Bremen, Germany • On-site
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Conduct foundational research in AI-driven semantic structure extraction and adaptive content generation for educational materials. Support teaching activities and supervise students in Machine Learning and NLP courses.
Requires a Master's or PhD in Computer Science, AI, or a related field with evidence of research potential. Must possess strong skills in semantic representation, transformer models, and fluency in English.
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 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.
The appointment provides full financial coverage through a dedicated fellowship, comprising:
Applications to be reviewed on a rolling basis. Shortlisted candidates will be invited to interviews.
Knowledge Through Science
At the Constructor Knowledge Labs (C>KL), we are committed to advancing applied research in Computer Science, Software Engineering, Machine Learning, and Artificial Intelligence. Based in Bremen, Germany, our mission is to drive innovation by applying cutting-edge methodologies and models to interdisciplinary domains such as Robotics, the Metaverse, Neurosciences, Neuropsychology, Education, and Life Sciences. Through a close partnership with Constructor University, C>KL fosters collaborative research, offering a vibrant and innovative environment for researchers and joint PhD students. Together, we aim to make a meaningful impact by addressing real-world challenges through applied research and technological advancements.
Offices: Campus Ring 1, Bremen, HB 28759, DE
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