Postdoc / Research Assistant - AI for Scientific Communication and Knowledge Graphs (m/f/d)

As a German Central Library of Technology and Natural Sciences, our pioneering services ensure the infrastructural requirements of high-quality information and literature supply for research in science and industry. With the Open Research Knowledge Graph (ORKG), we work to revolutionize the exchange and use of scientific knowledge in the digital age. The Technical Information Library (TIB), Programme D, Open Research Knowledge Graph, is looking for the Data Science & Digital Libraries (Prof. Dr. Sören Auer) research group at the earliest possible time:n Postdoc / Academic:r Staff:in - KI für Wissenschaftliche Kommunikation und Wissensgraphen (m/w/d) The place is limited to two years after the Science-Time Contract Act (WissZeitVG) and serves for further scientific qualification. An extension is possible. Regular weekly working hours are 39.8 hours (full time). In principle, the workplace is part-time. The grouping takes place in the remuneration group 13 TV-L. Who we are The TIB is a foundation of public law of the Land of Lower Saxony. With around 600 employees and an budget of around 60 million euros, it is one of the largest information infrastructure facilities in Germany. The TIB ensures optimal working conditions and continuously expands measures for the reconciliation of work and family life. It wants to promote equality between women and men in particular and therefore urges special qualified women to apply.

The research group Data Science & Digital Libraries researches at the interface of knowledge representation, knowledge graphs, neurosymbolic AI and large language models. The focus of our work lies in the scientific and research-related field in which we develop AI-based methods and tools for the representation, analysis and use of complex scientific information. One of the key objectives of our research is to improve the concluding ability, robustness and interpretability of AI systems by combining symbolic and neuronal AI approaches. In this context, we investigate how knowledge graphs and large language models can be integrated to support reliable AI applications for scientific research and scientific communication. The body is partly funded by the EU-funded project FFplus - Fortissimo Plus and is embedded in the extensive research activities of TIB in the field of AI for scientific communication, knowledge graphs and large language models. In this context, the body contributes to the development, specialisation and validation of HPC-based AI/language models. Your activity includes Conception, development and evaluation of neurosymbolic AI methods and architectures Development and integration of large language models (Large Language Models, LLMs) in work processes of scientific research and scientific communication Work with knowledge graphs and methods of knowledge representation in the context of the Open Research Knowledge Graph (ORKG) Development of data-driven and AI-based models to support analysis, representation and use of scientific information Conducting experimental evaluations and documentation of research results Publication of research results in international scientific journals and presentation at conferences Participation in research cooperation and third-party applications

Completed academic studies (master or equivalent degree) in computer science, artificial intelligence, data science, computer linguistics or a related subject Completed doctorate (PhD) in one of the mentioned or a professionally closely related fields Research experience in the field of neurosymbolic AI, large language models, knowledge graphs or related topics Very good programming skills, especially in Python Experience with experimental evaluation and scientific methodology Very good English skills in word and writing Required qualifications Experience with agent-based systems, distributed architectures or AI systems for scientific workflows Confidence with AI-based tools in the scientific field, reproducible research and scientific software development Experience in scientific communication, scientific information infrastructures or related topics Experience in interdisciplinary research cooperation German knowledge is advantageous, but not necessary

Our aim is to rethink and innovate the provision and use of research data and information. In the TIB research and development department, you have the opportunity to advance your scientific further qualification and research career in a dynamic and excellent research environment. We offer an intellectually inspiring environment with entrepreneurial thinking, embedded in a leading technical university and one of the largest information centres in the Leibniz community. With the L3S research centre at Leibniz Universität Hannover, one of the world's leading research institutes in the field of Web & Data Science, there is a close cooperation within the framework of the Leibniz Joint Lab Data Science & Open Knowledge. Last but not least, we value an open and creative working environment where it is fun to work. In addition, we offer A community-oriented workplace in public service based on the TV-L with a remuneration according to the remuneration group 13 TV-L A special payment at the end of the year and 30 days holiday a year at a five-day week as well as additional free days on Christmas Eve (24.12.) and New Year's Eve (31.12.) A flexible workplace in time and space with offers for the reconciliation of work and family, such as mobile work and flexible working time models (guiding time) A modern workplace in a central location of Hanover with a collegial, attractive and versatile work environment An employer with a wide range of continuing and continuing training, occupational health promotion and pension provision for public service (VBL) Employee discount in the students of the Studentenwerk Hannover as well as the possibility to use the versatile offers of the University Sports Hannover Individually responsible and forward-looking activities that offer variety and leave room for personal development