• 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.

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 Service. 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.

Please submit your detailed application with the usual documents (Cover letter, CV, copies of your references and certificates) quoting the job number „ScaDS.AI Färber1” by May 29, 2024 (stamped arrival date of the university central mail service or the time stamp on the email server of TUD applies) to: TU Dresden, ScaDS.AI, Herrn Prof. Dr. Wolfgang E. Nagel, Helmholtzstr. 10, 01069 Dresden, Germany or via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file to scads.ai@tu-dresden.de. Please submit copies only, as your application will not be 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, as well as further information about data protection is available to you on the website: https://tu-dresden.de/karriere/datenschutzhinweis.