2 Research Associates

vor 2 Monaten

Dresden, Deutschland Technische Universität Dresden Vollzeit

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)

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

**Tasks**:

- 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.***

**Requirements**:

- 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.

TUD strives to employ more women in academia and research. We therefore expressly encourage
women to apply. The University is a certified family-friendly university and offers a Dual Career
equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code
IX (SGB IX) will receive priority for employment.

references and certificates) quoting the **job number „ScaDS.AI Färber1”** by **May 29, 2024** (stamped
to**:TU Dresden, ScaDS.AI, Herrn Prof. Dr. Wolfgang E. Nagel, Helmholtzstr. 10, 01069 Dresden,**
returned to you. Expenses incurred in attending interviews can be reimbursed.

**Reference to data protection**: Your data protection rights, the purpose for which your data will be processed,
- dresden.de/karriere/datenschutzhinweis.

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