2 Research Associates / PostDocs (m/f/x)

As part of the German government's artificial intelligence (AI) strategy, the successful Saxon competence center ScaDS.AI Dresden/Leipzig (Center for Scalable Data Analytics and Artificial Intelligence) is being expanded into a leading German AI competence center for Big Data and Artificial Intelligence (AI). For TUD Dresden University of Technology, diversity is an essential feature and a quality criterion of an excellent university. Accordingly, we welcome all applicants who would like to commit themselves, their achievements and productivity to the success of the whole institution. At the **Center for Interdisciplinary Digital Sciences (CIDS),** the **Department for Scalable Data** **Analytics and Artificial Intelligence (ScaDS.AI Dresden)** offers,subject to the availability of resources, two project positions funded by the BMFTR as **Research Associate / PostDoc (m/f/x)** (subject to personal qualification, employees are remunerated according to salary group E 13 TV-L) starting **as soon as possible**. The positions are fixed-term until March 31, 2029. The individual contract duration will be determined according to the candidate’s qualifications and the intended academic qualification goal. An extension may be possible subject to the availability of resources. The period of employment is governed by § 2 (2) Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz - WissZeitVG). A shorter contract term is possible by arrangement. Within the project Neuro-Symbolic AI with Logic-Memory Decomposition (Neuro-SAIL), a new class of architectures for verifiable neuro-symbolic AI is being researched using Logic-Memory Decomposition. Rule-based decisions are made by logic components, while memory modules are only used when information is incomplete or ambiguous. If no reliable decision is possible, escalation to humans occurs. The aim is to make rule-based decisions more transparent and efficient, to limit the use of neural models to necessary cases, and to reduce rule violations and unsubstantiated statements. **Professional assignment:** Chair of Scalable Software Architectures for Data Analytics (Prof. Dr. Michael Färber) **Research areas:** Natural Language Processing, Large Language Models, Knowledge Graphs, and related fields (e.g., Graph Machine Learning) **Tasks:** * scientific research and development activities in at least one of the above-mentioned research areas * participation in national and international research projects, possibly in collaboration with industry * preparation of publications in internationally renowned journals and presentation of research findings at conferences **Requirements:** * a university degree (M.Sc., M.Eng. or equivalent) and if applicable a PhD degree in Computer Science, Computer Engineering, Software Engineering, Artificial Intelligence, Intelligent Systems, Data Science, Computational Science, Mathematics, Appl