Research Associate / PhD Student / PostDoc (m/f/x)
- Organisation
- TUD Dresden University of Technology
- Ort
- Dresden
- Website der Organisation
- tu-dresden.de
- Besetzung ab
- 01.11.2026
- Bewerbungsfrist
- 15.09.2026
- Stellenprofil
- 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
Requirements:
• 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.
TUD strives to employ more women in academia and research. We therefore expressly encourage women to apply. The university is a family-friendly university. We welcome applications from candidates with disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code IX (SGB IX) will receive priority for employment.
Application: Please submit your detailed application with the usual documents (e.g., cover letter, CV, and other supporting documents), quoting the job reference “ScaDS.AI Färber E 13” by September 15, 2026 (stamped arrival date of the university central mail service or the time stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file to jobs-scads.ai@tu-dresden.de or to:
TU Dresden, ScaDS.AI, Prof. Dr. Michael Färber, Helmholtzstr. 10, 01069 Dresden, Germany.
Please submit copies only, as your application will not be returned to you. Expenses incurred in attending interviews cannot be reimbursed.
TUD is a founding partner in the DRESDEN-concept alliance.
Reference to data protection: Your data protection rights, the purpose for which your data will be processed, as well as further information about data protection is available to you on the website:
https://tu-dresden.de/karriere/datenschutzhinweis.
- Abteilung
- Department for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI Dresden)
- Anstellungsart
- befristet, Vollzeit
- Vergütung
- subject to personal qualification, employees are remunerated according to salary group E 13 TV-L
Bewerbungsanschrift
TU Dresden, ScaDS.AI, Prof. Dr. Michael Färber, Helmholtzstr. 10, 01069 Dresden, Germany.
schriftlich oder per E-Mail
Ansprechpartner
Prof. Dr. Michael Färber
035146338743
jobs-scads.ai@tu-dresden.de
18.08.2026