In the Department of Computer Science at TU Darmstadt, the newly established Research Group “Multimodal Reliable Artificial Intelligence” of Prof. Dr. Marcus Rohrbach invites applications as soon as possible as

Research Associates / Postdocs (all genders) in Reliable AI

for a period of up to two years. An extension is possible in principle.

The established Research Group “Multimodal Reliable Artificial Intelligence” deals with foundational advances at the interface of different modalities, in particular images, videos, and language. Current research focuses on multimodal learning and reliable and secure artificial intelligence and machine learning.

The positions focus on the following topics, among others:

  • Self-Awareness of Deep Multimodal Models
  • Large-Scale Multimodal Training

The tasks also include scientific services in research and teaching.

We offer:

  • Excellent conditions at the Technical University of Darmstadt. TU Darmstadt is regularly ranked as one of the best German computer science faculties, has an outstanding interdisciplinary research profile in artificial intelligence that is unique in Germany and has a powerful AI computing infrastructure.
  • A lively research environment with close interaction with a broad spectrum of renowned and internationally recognized AI scientists (hessian.AI)
  • International conference trips, excellent facilities and extensive training opportunities


  • Applicants have completed a doctorate / Ph.D. in computer science or comparable courses of study.
  • The positions are open to highly qualified scientists and researchers in the field of AI with outstanding academic degrees.
  • Knowledge in the field of artificial intelligence/machine learning.
  • Very good written and oral English skills
  • You are highly motivated to publish your results and present them at international project meetings and conferences. Existing publications are a plus.
  • You have excellent communication skills and enjoy working in interdisciplinary and international teams
  • Very good programming experience and practical experience with PyTorch or comparable deep learning frameworks are expected. Public code publications (e.g. on github) are a plus.
  • Ability to work both independently and in a team in a dynamic and interdisciplinary research environment, as well as a high level of motivation and initiative.

The Technical University of Darmstadt stands for excellent and relevant science. Global transformations – from the energy transition to Industry 4.0 to artificial intelligence – challenge us. We play a decisive role in shaping these far-reaching processes of change through outstanding findings and forward-looking courses of study.

The fulfillment of the duties likewise enables the scientific qualifications of the candidate.

The Technische Universität Darmstadt intends to increase the number of female employees and encourages female candidates to apply. In case of equal qualifications applicants with a degree of disability of at least 50 or equal will be given preference. Wages and salaries are according to the collective agreements on salary scales, which apply to the Technische Universität Darmstadt (TV-TU Darmstadt). Part-time employment is generally possible.

Applications with cover letter, curriculum vitae, list of publications and overview of grades should be sent electronically in a PDF stating the identification number with the subject "Application as Postdoc 531" to: marcus[dot]rohrbach[at]tu[minus]darmstadt[dot]de

Applicants will be selected based on their academic qualifications, references, and participation in an interview.

By submitting your application, you agree that your data may be stored and processed for the purpose of filling the vacancy. You can find our privacy policy on our webpage.

Code No. 531

Published on

September 13, 2023

Application deadline

September 27, 2023