Research Associate / Postdoc (m/f/d) Sparse Linear Optimization and Machine Learning (Mathematician)

Technische Universität Dresden Arbeitsstätte DresdenDresdenEURESpublished 08/19/2026
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The Technische Universität Dresden (TUD) is one of Germany's most powerful research institutions as an Excellence University. It understands diversity as a cultural given and a quality criterion of an excellence university. Accordingly, we welcome all applicants who wish to commit themselves and their personality to our success and the success of all.

At the Faculty of Informatik, Institute for Künstliche Intelligenz, at the Professur für Maschinelles Lernen für Computer Vision, a position is available as of 01.12.2026 as a

Research Associate / Postdoc (m/f/d) Sparse Linear Optimization and Machine Learning (E 13 TV-L if personal requirements are met)

for 25 months (duration of employment according to WissZeitVG), with the goal of further scientific qualification, to be filled.

Tasks:

  • basic scientific research in Sparse Linear Optimization and Machine Learning
  • publication of research results in leading journals and at leading conferences
  • scientific teaching activities according to HSDAVO

Requirements:

  • very good university degree and doctorate in Mathematik or Informatik
  • publications in leading journals or at leading conferences in theoretical Informatik or Mathematik
  • research focus in the field of Sparse Linear Optimization
  • very good written and spoken English skills

We offer:

  • excellent opportunities for career development
  • unique cooperation possibilities with local, national, and international partners
  • IT equipment adapted to individual needs
  • modern working environment in a city of science and culture, surrounded by unique landscapes

TUD aims to increase the proportion of women and therefore expressly invites them to apply. The university is a family-friendly institution. Applications from people with severe disabilities are particularly welcome. In the case of equal suitability, these or those deemed equivalent by law under SGB IX will be given preference in hiring.

Application: Please send your meaningful application with the usual documents by 03.09.2026 (the postmark of the Central Post Office or the timestamp on the TUD email server applies) preferably via the TUD SecureMail portal https://securemail.tu-dresden.de (https://securemail.tu-dresden.de/) as a single PDF document to mlcv@tu-dresden.de (https://mailto:[mlcv@tu-dresden.de](mlcv@tu-dresden.de)) or to:

TU Dresden, Professur für Maschinelles Lernen für Computer Vision, Herrn Prof. Dr. Björn Andres, Helmholtzstr. 10, 01069 Dresden.

Your application documents will not be returned; please only submit copies. Interview costs will not be covered. TUD is a founding partner of the Forschungsallianz DRESDEN-concept e.V.

Note on data protection: We have provided information on what rights you have, for what purpose your data is processed, and further information on data protection on the following website: https://tu-dresden.de/karriere/datenschutzhinweis (https://tu-dresden.de/karriere/datenschutzhinweis) .

Supplementary information: Only persons with severe disabilities or those equivalent to them

Requirements for the applicant: Expert knowledge: Forschung

Contact person

Listed by the employer in the job posting — for questions and your application.