TU Darmstadt is an autonomous university with broad research excellence, an interdisciplinary profile, and a clear focus on engineering as well as information and communication technology. It is one of Europe’s leading AI hotspots (see csrankings.org) and a unit in the European Laboratory for Learning and Intelligent Systems (ELLIS, ellis.eu). The Department of Computer Science is one of the most visible departments of TU Darmstadt and regularly ranks among the best CS departments in Germany.

The Visual Inference Lab (led by Prof. Stefan Roth, Ph.D.) at the Department of Computer Science of TU Darmstadt is offering a position starting 01.08.2022 as

Research Assistant/Doctoral Researcher (all genders) – Adaptive Deep Visual Learning

in the cluster project “The Adaptive Mind”. The position is initially limited until 31 March 2025. The option of an extension of the contract is generally given.

The state of Hesse is funding the cluster project “The Adaptive Mind” (TAM, www.theadaptivemind.de), in which the universities of Gießen, Marburg, and Darmstadt as partner locations, together with the University of Frankfurt and the Frankfurt Institute for Advanced Studies (FIAS) as participating institutions, are pursuing the goal of advancing research in the field of Mind, Brain, and Behaviour in an interdisciplinary manner. The goal of “The Adaptive Mind” is to empirically observe, quantify, and use mathematical models to describe the continuous adaptation of human behaviour in a constantly changing and often unpredictable world.

The tasks of the open doctoral researcher position include scientific services in research and teaching at the intersection of computer vision, machine learning, and cognitive science, specifically related to the implementation of the TAM cluster project. Of particular interest are adaptation mechanisms for deep neural networks that capture object shape, recognize materials, and/or semantically analyze visual scenes. The tasks further include active collaboration with other research groups within “The Adaptive Mind” as well as a direct contribution to the scientific goals of TAM. Our open and internationally oriented team has access to state-of-the-art GPU facilities, including nvidia DGX machines, enabling outstanding research.

Your profile

  • Outstanding Masters degree (or equivalent) at a leading university in computer science, cognitive science, (applied) mathematics, electrical engineering, physics, or a related discipline
  • Advanced knowledge of computer vision, machine learning, and/or cognitive science is beneficial. More important, however, are outstanding mathematical and analytical skills, as well as programming experience
  • High intrinsic motivation, reliability, creativity, as well as the ability to discuss, formulate, and present scientific results in English
  • Significant potential for outstanding, independent research on challenging scientific problems as well as the ability for teamwork

Opportunity for further qualification (doctoral dissertation) is given. 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.

Your application should contain a cover letter, curriculum vitae, as well as diplomas and transcripts (Master, Bachelor, and high school). Your cover letter should discuss your motivation and qualifications for the position. Moreover, please name at least two references, who would be willing to supply letters of recommendation. Please send electronic applications (in the form of a single PDF), referencing the code no., to Prof. Stefan Roth, Ph.D. (email: info@visinf.tu-darmstadt.de).

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. 413

Published on

June 21, 2022

Application deadline

July 05, 2022