Informatiker (m/w/d)

Technische Universität Dresden; Dresden; Vor Ort; EUR 52.000 - 66.000; Vollzeit

Benefits dieser Stelle

Training opportunities

Access to HPC resources

Zusammenfassung

Technische Universität Dresden (TU Dresden) invites applications for two full-time positions as Research Associate / PhD Student (m/f/x) in the ScaDS.AI Dresden/Leipzig center. Positions are funded at salary group E 13 TV-L, start 1 November 2026, for two years with possible extension. They aim at further academic qualification under Prof.

Dr. Michael Färber. The role focuses on NLP, Large Language Models, Knowledge Graphs, and related fields, with duties including research, collaboration,

Qualifikationen

• University degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Advanced Information Science and Engineering, or a related field.
• Prior research experience (publications, theses, projects) is a strong plus.
• Strong interest in foundational research in the listed fields.
• Excellent programming skills (experience with deep learning frameworks preferred).
• Good written and spoken English skills.
• Highly motivated and able to work independently and in teams.

Aufgaben

• Scientific research in NLP, Large Language Models, Knowledge Graphs, or related fields.
• Collaboration in national and international research projects, possibly with industry.
• Participation in teaching (e.g., seminars; no basic lectures).
• Presentation and publication of research results in top-tier conferences/journals.
• Co-supervision of Bachelor’s/Master’s students in small projects or theses.
• Assist with proposal writing for research funding, if applicable.

Kenntnisse

Programming skills

Deep learning frameworks

English proficiency

Independent & team work

Ausbildung

CS/AI/Data Science degree

Tools

High-performance computing (HPC)

Jobbeschreibung

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 two full-time 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 November 1, 2026. The positions are limited to two years, 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 positions aim 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)

Tasks:

• scientific research in at least one of the above-mentioned research areas
• collaboration in national and international research projects, possibly with an industrial collaboration
• participation in teaching (e. g., seminars; no basic lectures)
• presentation and publication of research results in top-tier conferences/journals
• co-supervision of Bachelor’s/Master’s students in small projects or theses
• assist with proposal writing for research funding, if applicable

Qualifications:

• university degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Advanced Information Science and Engineering, or a related field
• prior research experience (publications, theses, projects) in the above-mentioned research areas is a strong plus
• strong interest in foundational research in the above-mentioned research areas
• excellent programming skills (experience with deep learning frameworks preferred)
• good written and spoken English skills
• highly motivated and able to work independently and in teams

The position comes with access to high-performance computing resources and access to training opportunities within ScaDS.AI.