Summary
The Saxon competence center ScaDS.AI Dresden/Leipzig is expanding into a premier German AI competence center. TU Dresden’s commitment to diversity encourages all applicants to apply for a position that will enhance their academic qualifications while working on cutting-edge research in Artificial Intelligence and Data Analytics.
Scholarship Opportunity at TU Dresden – ScaDS.AI, TU Dresden, Germany
Designation
Research Associate / PhD Student / PostDoc (m/f/x)
| Detail | Information |
|---|---|
| Salary Group | E 13 TV-L |
| Contract Duration | Limited to 24 months with possible extension |
| Employment Law | Governed by Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz – WissZeitVG) |
| Start Date | Earliest possible date |
Research Area
- Natural Language Processing
- Knowledge Graphs
- Machine Learning
- Related fields (e.g., Graph Machine Learning)
Location
TU Dresden, Germany
Eligibility / Qualification
- University degree (typically M.Sc.) in Computer Science, Data Science, Machine Learning, Computational Linguistics, or a related field; PhD if applicable
- 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
Job Description
- Conduct scientific research in at least one of the specified areas
- Collaborate in national and international research projects, possibly with industry connections
- Engage in scientific teaching tasks (e.g., seminars; no basic lectures)
- Present research results and prototypes
How to Apply
Interested candidates should submit a detailed application including necessary documents (cover letter, CV, and other supporting materials) quoting the job reference “ScaDS.AI Färber E 13” by April 22, 2026. Applications can be submitted through the TUD SecureMail Portal as a single PDF file to jobs-scads.ai@tu-dresden.de or mailed to:
TU Dresden
ScaDS.AI
Prof. Dr.-Ing. Michael Färber
Helmholtzstr. 10
01069 Dresden, Germany
Please submit copies only, as applications will not be returned. Expenses incurred in attending interviews cannot be reimbursed.
Last Date to Apply
April 22, 2026
