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). The TUD Dresden University of Technology (TUD) embodies a university culture that is characterized by cosmopolitanism, mutual appreciation, thriving innovation and active participation. For TUD 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 Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI Dresden) offers two positions as
Research Associate / PhD Student (m/f/x)
(subject to personal qualification employees are remunerated according to salary group E 13 TV-L)
starting at the earliest possible date and is limited until April 30, 2027. The period of employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz - WissZeitVG). The positions aim at obtaining further academic qualification (usually PhD).
Professional assignment: Chair of Scalable Software Architectures for Data Analytics (Prof. Dr. Michael Färber)
Research area: Natural Language Processing (Large Language Models), Machine Learning, Knowledge Graphs
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
participation in teaching (e. g. seminars; no basic lectures)
presentation of research results and prototypes.
The position comes with access to high performance computing resources and access to training opportunities within ScaDS.AI.
university degree (typically M.Sc.) in Computer Science, Data Science, Machine Learning, Computational Linguistics or a related field
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.