German AI competence center for Big Data and Artificial Intelligence (AI)
Role details
Job location
Tech stack
Job description
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 a full-time position as Research Associate / PhD Student / PostDoc (m/f/x) (subject to personal qualification employees are remunerated according to salary group E 13 TV-L) starting at the earliest possible date. The position is limited to 24 months, with the option of extension. The period of employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz - WissZeitVG). A shorter contract term is possible by arrangement. The position aims at obtaining further academic qualification.
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)
Requirements
scientific research in at least one of the following areas: Natural Language Processing, Knowledge Graphs, Machine Learning (e. g. combination of Language Models with Knowledge Graphs; development of truthful/citable Language Models) collaboration in national and international research projects, possibly with an industrial connection scientific teaching tasks (e. g. seminars; no basic lectures) presentation of research results and prototypes, university degree (typically M.Sc.) in Computer Science, Data Science, Machine Learning, Computational Linguistics or a related field, if applicable with PhD previous experience in Natural Language Processing, knowledge Graphs, Machine Learning or Recommender Systems strong interest in foundational research very good programming skills, preferably in Python good written and spoken English skills